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../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What are some common challenges faced by healthcare professionals during doctor-patient interactions in Puskesmas settings? | According to the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia", the primary issue contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors are required to conduct thorough consultations, w... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What are some potential benefits of using real-time transcription and summarization tools in ePuskesmas for doctor-patient interactions? | According to the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia", the primary issue contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors are required to conduct thorough consultations, w... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | In what ways can AI technologies, such as LLMs, be used to automate tasks and improve the productivity of doctors in Puskesmas? | According to the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia", the primary issue contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors are required to conduct thorough consultations, w... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does the linguistic diversity of patients in Indonesia affect the efficiency of doctor-patient interactions in Puskesmas settings? | According to the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia", the primary issue contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors are required to conduct thorough consultations, w... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does the proposed framework utilizing LLMs address the issue of inefficient clinical documentation in ePuskesmas? | The authors propose a solution to address the inefficiency of doctor-patient interactions in Puskesmas, Indonesia's primary health care centers, by leveraging large language models (LLMs). The proposed framework utilizes two LLMs: Whisper for real-time transcription and GPT-3 for summarization. Here is a summary of the... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Why does the manual entry of information into the ePuskesmas application turn it into a labor-intensive and time-consuming task for healthcare providers, according to the paper? | According to the paper, the manual entry of information into the ePuskesmas application turns it into a labor-intensive and time-consuming task for healthcare providers because they still have to maintain manual records as a copy. This added workload and time required to input data into the ePuskesmas application decre... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What is the primary issue contributing to inefficiency in Puskesmas, as mentioned in the paper 'Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia'? | According to the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia", the primary issue contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors are required to conduct thorough consultations, w... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does the proposed solution align with existing ePuskesmas system requirements, and what modifications may be necessary? | The authors propose a solution to address the inefficiency of doctor-patient interactions in Puskesmas, Indonesia's primary health care centers, by leveraging large language models (LLMs). The proposed framework utilizes two LLMs: Whisper for real-time transcription and GPT-3 for summarization. Here is a summary of the... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What are the benefits of using a custom web browser extension for recording patient-doctor interactions in real-time? | The authors propose a solution to address the inefficiency of doctor-patient interactions in Puskesmas, Indonesia's primary health care centers, by leveraging large language models (LLMs). The proposed framework utilizes two LLMs: Whisper for real-time transcription and GPT-3 for summarization. Here is a summary of the... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What are some potential future directions or extensions for this framework to further improve clinical documentation and patient care in Puskesmas? | The authors propose a solution to address the inefficiency of doctor-patient interactions in Puskesmas, Indonesia's primary health care centers, by leveraging large language models (LLMs). The proposed framework utilizes two LLMs: Whisper for real-time transcription and GPT-3 for summarization. Here is a summary of the... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Where are the audio recordings stored after being captured by the Chrome extension used for conversation recording, as explained in the paper? | According to the text, after being captured by the Chrome extension, the audio recordings are sent to the Whisper API for transcription. The specific details about where the audio recordings are stored before being sent to the Whisper API are not mentioned.
However, it can be inferred that the audio recordings are tem... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What is the purpose of temporarily storing audio recordings on the user's device before sending them to the Whisper API? | According to the text, after being captured by the Chrome extension, the audio recordings are sent to the Whisper API for transcription. The specific details about where the audio recordings are stored before being sent to the Whisper API are not mentioned.
However, it can be inferred that the audio recordings are tem... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Where are the temporary storage locations for audio recordings on a user's device, and how do they affect the overall conversation recording process? | According to the text, after being captured by the Chrome extension, the audio recordings are sent to the Whisper API for transcription. The specific details about where the audio recordings are stored before being sent to the Whisper API are not mentioned.
However, it can be inferred that the audio recordings are tem... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does the Chrome extension ensure that audio recordings are not lost during transmission to the Whisper API? | According to the text, after being captured by the Chrome extension, the audio recordings are sent to the Whisper API for transcription. The specific details about where the audio recordings are stored before being sent to the Whisper API are not mentioned.
However, it can be inferred that the audio recordings are tem... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Can you describe the flow of audio data from capture to processing, including any intermediate storage locations? | According to the text, after being captured by the Chrome extension, the audio recordings are sent to the Whisper API for transcription. The specific details about where the audio recordings are stored before being sent to the Whisper API are not mentioned.
However, it can be inferred that the audio recordings are tem... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Why does the Whisper model show good accuracy for transcription in Bahasa Indonesia, according to the paper? | According to the paper, the Whisper model shows good accuracy for transcription in Bahasa Indonesia because it has been trained on a diverse dataset of 680,000 hours of multilingual audio. This training enables the model to generalize effectively across tasks with minimal pre-processing, including Bahasa Indonesia.
Ad... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What is the name of the speech recognition model used for transcription in the proposed framework, as mentioned in the paper 'Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia'? | The speech recognition model used for transcription in the proposed framework is called Whisper. It is a sequence-to-sequence transformer architecture optimized for various speech processing applications, including transcription, translation, and language identification.
Source:
Section II.B: Transcription with Whispe... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What are some examples of speech processing applications where Whisper has been optimized for use? | The speech recognition model used for transcription in the proposed framework is called Whisper. It is a sequence-to-sequence transformer architecture optimized for various speech processing applications, including transcription, translation, and language identification.
Source:
Section II.B: Transcription with Whispe... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What is the role of JavaScript in identifying relevant input field IDs within the ePuskesmas form and populating extracted data into these fields, as described by the authors? | According to the paper, the outputs generated by the GPT-3 summarization model are integrated into the ePuskesmas form through a parsing process. The system uses JavaScript to identify relevant input field IDs within the ePuskesmas form and then automatically populates the extracted data into the corresponding fields.
... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Summarize the process involved in summarization with GPT-3, as presented in the paper 'Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia'. | The paper presents a framework that leverages GPT-3 for summarizing doctor-patient interactions. The process involved in summarization with GPT-3 can be summarized as follows:
1. **Transcribed Text**: The transcribed text from the Whisper model is used as input to the GPT-3 model.
2. **Prompting GPT-3**: A specific pr... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What is the name of the GPT variant that was utilized for medical applications such as summarizing patient histories, generating differential diagnoses, and supporting clinical documentation, as mentioned in [22]? | The language model used for summarization in the proposed framework is GPT-3.
Source:
[14] OpenAI, "GPT-3," 2024.
Additionally, it's worth noting that the authors also mention other research studies that have showcased GPT-3’s capabilities in various medical applications, such as summarizing patient histories, gene... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Why does the GPT-3 model show immense potential for summarizing complex interactions in various domains, including healthcare, according to the paper? | According to the paper, the GPT-3 model shows immense potential for summarizing complex interactions in various domains, including healthcare, due to its advanced contextual understanding. The paper states that "GPT-3 is a state-of-the-art language model developed by OpenAI. It leverages its 175 billion parameters to p... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does GPT-3's advanced contextual understanding enable it to perform well in summarizing medical conversations and generating concise outputs? | According to the paper, the GPT-3 model shows immense potential for summarizing complex interactions in various domains, including healthcare, due to its advanced contextual understanding. The paper states that "GPT-3 is a state-of-the-art language model developed by OpenAI. It leverages its 175 billion parameters to p... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Why does learning generative image models from various domains require transferring knowledge from a model trained on a large dataset, according to the paper 'Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia'? | The provided text does not mention the topic of generative image models or transferring knowledge from a model trained on a large dataset. The papers listed in the reference section appear to be related to natural language processing (NLP) and artificial intelligence, specifically focusing on applications such as chatb... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | How does the Whisper model's transcribed text serve as input to the GPT-3 model in this framework? | The paper presents a framework that leverages GPT-3 for summarizing doctor-patient interactions. The process involved in summarization with GPT-3 can be summarized as follows:
1. **Transcribed Text**: The transcribed text from the Whisper model is used as input to the GPT-3 model.
2. **Prompting GPT-3**: A specific pr... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | What specific prompt is used to instruct GPT-3 on how to summarize the transcribed text, and what format is requested for the summary? | The paper presents a framework that leverages GPT-3 for summarizing doctor-patient interactions. The process involved in summarization with GPT-3 can be summarized as follows:
1. **Transcribed Text**: The transcribed text from the Whisper model is used as input to the GPT-3 model.
2. **Prompting GPT-3**: A specific pr... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What are some common challenges associated with training generative image models from scratch on small datasets? | The provided text does not mention the topic of generative image models or transferring knowledge from a model trained on a large dataset. The papers listed in the reference section appear to be related to natural language processing (NLP) and artificial intelligence, specifically focusing on applications such as chatb... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you discuss some potential risks or limitations associated with transferring knowledge from a pre-trained model on a large dataset to a new task or domain? | The provided text does not mention the topic of generative image models or transferring knowledge from a model trained on a large dataset. The papers listed in the reference section appear to be related to natural language processing (NLP) and artificial intelligence, specifically focusing on applications such as chatb... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How can feature pyramid networks (FPNs) be used to enhance generative knowledge transfer in vision transformers? | The provided text does not mention a specific paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia." However, it lists several papers related to large language models (LLMs) and their applications.
If you are looking for information on genera... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you provide a comparison of the performance of prompt-tuned models versus traditionally fine-tuned models on specific tasks, and what were the key findings? | Unfortunately, there is no information about a specific paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. However, I can provide general information on prompt tuning.
Prompt tuning is a technique used to fine-tune la... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How does fine-tuning a pre-trained vision transformer on a specific dataset contribute to its adaptation to a new domain? | The provided text does not mention the paper "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia". It appears to be a collection of references related to large language models (LLMs) and their applications, but it does not contain any information about ad... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you explain how shifted windows are used in Swin Transformer models to process visual tokens? | The text you provided does not mention the paper "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia". However, it seems that this is a different paper from the ones listed in your reference.
If we look at the papers mentioned in the text, there are no s... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you provide an example of how a Vision Transformer model might be used to classify images based on their content? | The text you provided does not mention the paper "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia". However, it seems that this is a different paper from the ones listed in your reference.
If we look at the papers mentioned in the text, there are no s... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Who among the mentioned authors has contributed to research on LLMs or speech recognition? | Unfortunately, there is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The references given are from various sources, but none of them match this specific title.
However, if you're looking for info... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How does soft labeling contribute to the process of generative knowledge transfer in vision transformers? | The provided text does not mention a specific paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia." However, it lists several papers related to large language models (LLMs) and their applications.
If you are looking for information on genera... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What is the purpose of using prompt tuning in the framework described in the paper 'Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia'? | Unfortunately, there is no information about a specific paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. However, I can provide general information on prompt tuning.
Prompt tuning is a technique used to fine-tune la... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you provide an example of a domain where prompt tuning has been successfully applied to adapt a large language model, and what were the key results? | Unfortunately, there is no information about a specific paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. However, I can provide general information on prompt tuning.
Prompt tuning is a technique used to fine-tune la... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you explain the concept of ePuskesmas and its relevance to doctor-patient interactions? | Unfortunately, there is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The references given are from various sources, but none of them match this specific title.
However, if you're looking for info... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How might the MediaRecorder API be integrated with existing healthcare systems or ePuskesmas infrastructure in Indonesia to support real-time transcription and summarization of doctor-patient interactions? | The MediaRecorder API is not directly mentioned in the provided links. However, based on the context of the given references and their relevance to the topic of using Large Language Models (LLMs) for real-time transcription and summarization, I can provide a possible connection.
The MediaRecorder API is an interface t... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you explain the concept of few-shot learning in language models and how it applies to healthcare applications? | Based on the provided text, here's a summary of the main points discussed in each paper related to the topic:
1. **[9] V.-T. Doan et al., "Efficient finetuning large language models for Vietnamese chatbot," 2023**:
- This paper discusses fine-tuning large language models (LLMs) for a Vietnamese chatbot.
- The fo... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How can AI-powered chatbots like ChatGPT be used to enhance clinical trial enrollment and improve patient outcomes? | Based on the provided text, here's a summary of the main points discussed in each paper related to the topic:
1. **[9] V.-T. Doan et al., "Efficient finetuning large language models for Vietnamese chatbot," 2023**:
- This paper discusses fine-tuning large language models (LLMs) for a Vietnamese chatbot.
- The fo... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What are some potential challenges and limitations of using GPT-3 AI models for diagnostic and triage purposes in healthcare? | Based on the provided text, here's a summary of the main points discussed in each paper related to the topic:
1. **[9] V.-T. Doan et al., "Efficient finetuning large language models for Vietnamese chatbot," 2023**:
- This paper discusses fine-tuning large language models (LLMs) for a Vietnamese chatbot.
- The fo... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | # Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia
#### Mansur M. Arief
_Stanford Intelligent Systems Lab_
_Stanford University_
Stanford, USA
ariefm@stanford.edu
#### Azmul Asmar Irfan
_Faculty of Medicine_
_UIN Syarif Hidayatullah_
Jakarta, Indone... | Where are the outputs generated by the GPT-3 summarization model integrated into the ePuskesmas form, as explained in the paper? | According to the paper, the outputs generated by the GPT-3 summarization model are integrated into the ePuskesmas form through a parsing process. The system uses JavaScript to identify relevant input field IDs within the ePuskesmas form and then automatically populates the extracted data into the corresponding fields.
... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What is the significance of listing these specific papers together in the context of large language models and healthcare applications? | There is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The papers listed ([9] to [23]) appear to be a collection of research articles related to various topics such as large language models, speech... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How do researchers use LLMs for automatic speech recognition in radiological analysis, as mentioned in the paper 'Revolutionizing radiological analysis: The future of French language automatic speech recognition in healthcare'? | The provided text does not contain any information about a paper titled "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia".
However, there are several papers related to using Large Language Models (LLMs) in various applications such as healthcare and ... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How do researchers evaluate the effectiveness of LLMs in various applications, as mentioned in the papers? | The provided text does not contain any information about a paper titled "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia".
However, there are several papers related to using Large Language Models (LLMs) in various applications such as healthcare and ... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How might the MediaRecorder API be used to provide input data for Large Language Models (LLMs) in the context of ePuskesmas in Indonesia? | The MediaRecorder API is not directly mentioned in the provided links. However, based on the context of the given references and their relevance to the topic of using Large Language Models (LLMs) for real-time transcription and summarization, I can provide a possible connection.
The MediaRecorder API is an interface t... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you describe a scenario where the MediaRecorder API would be necessary for capturing high-quality audio or video recordings of doctor-patient interactions for subsequent analysis using LLMs? | The MediaRecorder API is not directly mentioned in the provided links. However, based on the context of the given references and their relevance to the topic of using Large Language Models (LLMs) for real-time transcription and summarization, I can provide a possible connection.
The MediaRecorder API is an interface t... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you discuss the synergy between humanoid robots and LLMs, such as Whisper, in education and healthcare settings? | Based on the provided text, here's a summary of the main points discussed in each paper related to the topic:
1. **[9] V.-T. Doan et al., "Efficient finetuning large language models for Vietnamese chatbot," 2023**:
- This paper discusses fine-tuning large language models (LLMs) for a Vietnamese chatbot.
- The fo... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What role does the Media devices API play in collecting audio data for real-time transcription and summarization applications? | There is no mention of a specific paper titled "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia" in the provided text. However, I can provide general information about the Media devices API and its relevance to real-time transcription and summarization... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What are some potential applications of the Media devices API in healthcare settings, such as doctor-patient interactions? | There is no mention of a specific paper titled "Using_LLM_for_Real-Time_Transcription_and_Summarization_of_Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia" in the provided text. However, I can provide general information about the Media devices API and its relevance to real-time transcription and summarization... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How do the papers [9] to [23] contribute to the field of artificial intelligence, as per the provided information? | There is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The papers listed ([9] to [23]) appear to be a collection of research articles related to various topics such as large language models, speech... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What is the primary topic or theme that connects all the papers listed from [9] to [23]? | There is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The papers listed ([9] to [23]) appear to be a collection of research articles related to various topics such as large language models, speech... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | Can you determine if there is a chronological order or publication sequence among the papers [9], [10], ..., [23]? | There is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The papers listed ([9] to [23]) appear to be a collection of research articles related to various topics such as large language models, speech... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | What is the relationship between these research articles and potential real-world applications in healthcare, as per the provided information? | There is no mention of a paper titled "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" in the provided text. The papers listed ([9] to [23]) appear to be a collection of research articles related to various topics such as large language models, speech... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How does the Whisper model from OpenAI perform in automatic speech recognition for individuals with Autism Spectrum Disorder (ASD), and what implications does this have for ePuskesmas systems? | Unfortunately, there is no direct connection between the provided papers and the specific topic of "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" as mentioned in the reference [Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49, 2018]. However, I can provide ... |
../data/Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1.pdf | Using_LLM_for_Real-Time_Transcription_and_Summarization_of
__Doctor-Patient_Interactions_into_ePuskesmas_in_Indonesia_2409.17054v1 | paper | Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49,
2018.
[9] V.-T. Doan, Q.-T. Truong, D.-V. Nguyen, V.-T. Nguyen, and T.-N. N.
Luu, “Efficient finetuning large language models for Vietnamese chatbot,” in 2023 International Conference on Multimedia Analysis and
_Pattern Recognition (MAPR), pp. 1–6, IEEE, 2023._
[10] U. Mumta... | How do language models learn from a small amount of data, as discussed in paper [14], and what implications does this have for adapting LLMs to specific tasks like doctor-patient interactions in ePuskesmas? | Unfortunately, there is no direct connection between the provided papers and the specific topic of "Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia" as mentioned in the reference [Ilmiah Wijaya, vol. 10, no. 2, pp. 44–49, 2018]. However, I can provide ... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | Summarize the process of decoding the credibilitized token c[cred] so that it is suitable to predict a response variable Y, as described in the paper 'The Credibility Transformer'. | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What is the role of the CLS token in the credibility mechanism, and how are two different representations/predictors for responses generated? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | How does the problem-specific decoder map from R[2][b] to R to predict the response variable Y, and what is the significance of the exponential output activation function? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What are the implications of using a weighted credibility mechanism with hyperparameter α (0, 1) in combining prior information and covariate-augmented predictors? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What is the purpose of introducing randomness in setting the CLS token to either c[trans] or c[prior] during training, according to 'The Credibility Transformer'? | According to the paper "The Credibility Transformer," the hyperparameter α (0, 1) plays a crucial role in assigning credibility to the Transformer processed CLS token and the prior value CLS token.
During training, the CLS token c[cred] will randomly be set to either the token c[trans], which includes covariate infor... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What is the empirical frequency of claim events on the learning dataset and test dataset, as reported in the paper 'The Credibility Transformer'? | According to the text, the empirical frequencies are:
- On the learning dataset: 7.35% or approximately 1/13.58 calendar years.
- On the test dataset: almost the same as the learning dataset, with 2,645 claim events out of a total number of instances.
The exact empirical frequency on the test dataset is not explicitl... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | Can you describe the architecture of the decoder FNN used in 'The Credibility Transformer' paper, and how it maps from R[2][b] to R? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | Can you explain the process of tokenization and normalization of the covariate input x before it's processed through a Transformer architecture? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | How does the softmax function in equation (2.4) contribute to obtaining the attention weights for the CLS token during the Transformer processing step? | According to the provided text, the attention weights for the CLS token are not directly extracted during the decoding process. Instead, they are obtained before the decoding step.
Specifically, the attention weights for the CLS token are calculated using the softmax function in equation (2.4), which is applied to the... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What is the mathematical representation of the final decoded output μ[CT](x) obtained using the credibilitized token c[cred], and what does it signify? | According to the paper "The Credibility Transformer", the process of decoding the credibilitized token c[cred] to predict a response variable Y involves the following steps:
1. **Tokenization**: The covariate input x is first encoded into an augmented input tensor x[+]1:T +1 using CLS tokens, and then processed throug... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | In what proportion of training iterations does the CLS token use prior information versus covariate information, and how is this controlled by the value of α? | According to the paper "The Credibility Transformer," the hyperparameter α (0, 1) plays a crucial role in assigning credibility to the Transformer processed CLS token and the prior value CLS token.
During training, the CLS token c[cred] will randomly be set to either the token c[trans], which includes covariate infor... |
../data/The_Credibility_Transformer_2409.16653v1.pdf | The_Credibility_Transformer_2409.16653v1 | paper | �]_ [= (][c][1][, . . ., c][2][b][)][⊤] _[∈]_ [R][2][b][ denote the CLS tokens. Each of the scalars][ c][j][ ∈] [R]
comprising the CLS tokens, 1 ≤ _j ≤_ 2b, will encode one column of the input tensor x1:T ∈ R[T] _[×][2][b],_
i.e., it will provide a one-dimensional projection of the corresponding j-th T -dimensional vec... | What are the key differences between encoding covariate input x and other methods of incorporating external knowledge into transformer-based models? | ERROR ANSWER NOT FOUND |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | Summarize the key components of any foundation model, according to the paper 'Towards a graph-based foundation model for network traffic analysis'. | According to the paper "Towards a graph-based foundation model for network traffic analysis", the key components of any foundation model are:
1. **Consistent data representation**: A consistent and efficient way to represent the application field's data, which enables the model to capture its dynamics.
2. **Model arch... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How do researchers propose to address the limitations of previous foundation models in capturing complex relationships within data, according to the paper? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the key components of any foundation model are:
1. **Consistent data representation**: A consistent and efficient way to represent the application field's data, which enables the model to capture its dynamics.
2. **Model arch... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | What are some potential drawbacks or challenges associated with developing a suitable model architecture that efficiently captures dynamics, according to the paper? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the key components of any foundation model are:
1. **Consistent data representation**: A consistent and efficient way to represent the application field's data, which enables the model to capture its dynamics.
2. **Model arch... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does the concept of informative self-supervised pretraining tasks relate to the broader field of machine learning and deep learning, as discussed in 'Towards a graph-based foundation model for network traffic analysis'? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the key components of any foundation model are:
1. **Consistent data representation**: A consistent and efficient way to represent the application field's data, which enables the model to capture its dynamics.
2. **Model arch... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | Where are the learnable tokens or prompts added in the process of adapting vision transformers to a new domain, as explained in the paper 'Visual prompt tuning'? | The provided text does not discuss "Visual prompt tuning" or adapting vision transformers to a new domain. It appears to be focused on developing a graph-based foundation model for network traffic analysis.
However, I can provide information on how learnable tokens or prompts are added in the process of adapting visio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | What are some common techniques used for prompt engineering when adapting vision transformers to a new domain? | The provided text does not discuss "Visual prompt tuning" or adapting vision transformers to a new domain. It appears to be focused on developing a graph-based foundation model for network traffic analysis.
However, I can provide information on how learnable tokens or prompts are added in the process of adapting visio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | Can you explain how the process of adaptation through prompt tuning affects the interpretability of the vision transformer model's predictions in a new domain? | The provided text does not discuss "Visual prompt tuning" or adapting vision transformers to a new domain. It appears to be focused on developing a graph-based foundation model for network traffic analysis.
However, I can provide information on how learnable tokens or prompts are added in the process of adapting visio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does representing network traffic at the flow-level improve upon analyzing encrypted packet-level data? | According to the paper "Towards a graph-based foundation model for network traffic analysis," the authors propose a graph-based approach for building network traffic foundation models for several reasons:
1. **Graphs are well-suited to represent structural characteristics of network traffic**: Graphs can capture the r... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does the proposed graph-based approach adapt to different task-specific requirements or network environments with minimal fine-tuning? | According to the paper "Towards a graph-based foundation model for network traffic analysis," the authors propose a graph-based approach for building network traffic foundation models for several reasons:
1. **Graphs are well-suited to represent structural characteristics of network traffic**: Graphs can capture the r... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does the use of multiple pretraining tasks combined in a single loss function impact the performance of the GNN model for network traffic analysis? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the purpose of using a self-supervised link-prediction task for pretraining the graph neural network (GNN) model is to capture the spatial and temporal dynamics in the network graph framework.
The authors argue that this appr... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | Can you describe a scenario where the pretrained model might not generalize well to downstream tasks, based on the results of the few-shot experiment? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the authors conducted a few-shot learning experiment to evaluate the effectiveness of their proposed graph-based approach. The results are as follows:
* The average performance increase of models finetuned from the pretrained... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does the geometrical reuse of parameters contribute to reducing the size of the spatio-temporal GNN model compared to other models? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the main advantages of using a spatio-temporal graph neural network (GNN) model are:
1. **Efficient capture of complex interdependencies and long-term relationships**: The authors argue that traditional sequential tokenizatio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | How do GNNs capture complex relationships and patterns within network traffic data, making them useful for intrusion detection? | The use of graph neural networks (GNNs) in network intrusion detection systems has been explored in various studies. However, I couldn't find any direct reference to the specific paper "Towards a graph-based foundation model for network traffic analysis" in the provided text.
However, based on the related papers liste... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Why is the development of realistic botnet datasets crucial for evaluating the effectiveness of GNN-based network security systems? | Unfortunately, there is no specific paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, I can summarize some key findings related to the use of graph neural networks (GNNs) in network security from various papers listed:
1. **Graph Neural Networks ... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | How do GNNs handle complex relationships between nodes and edges in a graph, and what are some common techniques used to model these relationships? | Unfortunately, there is no specific paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, I can summarize some key findings related to the use of graph neural networks (GNNs) in network security from various papers listed:
1. **Graph Neural Networks ... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Can contextualized datagram representations with pre-training transformers be extended using graph neural networks to better capture complex relationships between packets, as proposed by Xinjie Lin et al.? | Although the specific title "Towards a graph-based foundation model for network traffic analysis" is not present in the provided list of papers, we can infer that the concept of applying Graph Neural Networks (GNNs) to Network Traffic Analysis (NTA) is discussed in various papers listed.
Some potential applications of... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Where can I find more information on the UNSW-NB15 dataset used in the paper 'Towards a graph-based foundation model for network traffic analysis'? | Unfortunately, there is no specific paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, we do have reference [19] which mentions the UNSW-NB15 dataset.
According to reference [19], Nour Moustafa and Jill Slay (2015) created the UNSW-NB15 dataset in... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | What is the primary purpose of the UNSW-NB15 dataset? | Unfortunately, there is no specific paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, we do have reference [19] which mentions the UNSW-NB15 dataset.
According to reference [19], Nour Moustafa and Jill Slay (2015) created the UNSW-NB15 dataset in... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | How does the UNSW-NB15 dataset differ from other network intrusion detection datasets? | Unfortunately, there is no specific paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, we do have reference [19] which mentions the UNSW-NB15 dataset.
According to reference [19], Nour Moustafa and Jill Slay (2015) created the UNSW-NB15 dataset in... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | How does the few-shot learning experiment conducted in the paper demonstrate the effectiveness of the proposed approach? | The main contribution of the paper "Towards a graph-based foundation model for network traffic analysis" is the proposal of a novel, graph-based approach to building network traffic foundation models. The authors introduce a spatio-temporal graph neural network (GNN) architecture that effectively incorporates the struc... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | # Towards a graph-based foundation model for network traffic analysis
### Louis Van Langendonck
##### louis.van.langendock@estudiantat.upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Ismael Castell-Uroz
##### ismael.castell@upc.edu Universitat Politécnica de Catalunya Barcelona, Spain
### Pere B... | What is the relationship between the semantic distance between the pretraining dataset and the finetuning task, and the generalization ability of the proposed model? | According to the paper "Towards a graph-based foundation model for network traffic analysis", the authors suggest adding more volume and variety to the pretraining dataset used in future work because they observed that the finetuning task of common network classification was semantically the furthest removed from the c... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | How can I access the supplementary materials or presentations shared by the authors on ResearchGate or their institution's website? | Unfortunately, there is no paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, I can help you find more information on PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security.
The relevant paper discussing PPT-GNN... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Can you explain the process of searching for academic papers on Google Scholar, Microsoft Academic, or Semantic Scholar, and how to filter results effectively? | Unfortunately, there is no paper titled "Towards a graph-based foundation model for network traffic analysis" among the provided references. However, I can help you find more information on PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security.
The relevant paper discussing PPT-GNN... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | What is the role of pre-training transformers in developing ET-BERT, a contextualized datagram representation for encrypted traffic classification by Xinjie Lin et al. (2022)? | Unfortunately, there isn't a specific paper titled "Towards a graph-based foundation model for network traffic analysis" in the provided list. However, I can provide information on the relationship between graph neural networks and network security based on some of the papers listed.
Graph Neural Networks (GNNs) have ... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | What are some alternative search engines I can use to find research papers on E-graphsage? | The text does not mention "Towards a graph-based foundation model for network traffic analysis" but rather mentions "E-graphsage: A graph neural network based intrusion detection system for iot. In NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 1–9." which is the actual source of informatio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Can I find any updates or additional information on E-graphsage from the authors' websites or profiles? | The text does not mention "Towards a graph-based foundation model for network traffic analysis" but rather mentions "E-graphsage: A graph neural network based intrusion detection system for iot. In NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 1–9." which is the actual source of informatio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | What are some potential applications or use cases for E-graphsage in real-world scenarios? | The text does not mention "Towards a graph-based foundation model for network traffic analysis" but rather mentions "E-graphsage: A graph neural network based intrusion detection system for iot. In NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. IEEE, 1–9." which is the actual source of informatio... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | How does the pre-training approach in ET-BERT contribute to its robustness and scalability? | The ET-BERT model is actually mentioned in the paper "ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification" by Xinjie Lin et al., not in the paper "Towards a graph-based foundation model for network traffic analysis".
However, I can provide information o... |
../data/Towards_a_graph-based_foundation_model_for_network_traffic_analysis_2409.08111v1.pdf | Towards a graph-based foundation model for network traffic analysis | paper | abs/2005.14165)
[2] Tomasz Bujlow, Valentín Carela-Español, and Pere Barlet-Ros. 2015.
Independent comparison of popular DPI tools for traffic classification.
_[Computer Networks 76 (2015), 75–89. https://doi.org/10.1016/j.comnet.](https://doi.org/10.1016/j.comnet.2014.11.001)_
[2014.11.001](https://doi.org/10.1016/j.... | Can you explain how interpretability challenges in graph neural networks impact the decision-making process of security analysts? | Although the specific paper "Towards a graph-based foundation model for network traffic analysis" is not directly referenced in the provided text, we can infer some potential challenges or limitations of using graph neural networks (GNNs) in network intrusion detection from related papers.
Some potential challenges or... |
../data/Zero-Shot_Detection_of_LLM-Generated_Text_using_Token_Cohesiveness_2409.16914v1.pdf | Zero-Shot_Detection_of_LLM-Generated_Text_using_Token_Cohesiveness_2409.16914v1 | paper | by Gemini, the details of which are
introduced in Appendix C.
**Metric** We also follow prior work to use the area
under the receiver operating characteristic curve
(AUROC) as the evaluation metric. This metric is
based on dynamic positive-negative thresholds and
does not require specifying a fixed threshold, which
i... | What is the purpose of using TOCSIN in zero-shot detection of LLM-generated text, as described in the paper 'Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness'? | According to the paper "Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness", the purpose of using TOCSIN (Token Cohesiveness-based Score Improvement Network) is to improve the performance of zero-shot detectors in distinguishing between human-written and LLM-generated text.
The authors argue that exist... |
../data/Zero-Shot_Detection_of_LLM-Generated_Text_using_Token_Cohesiveness_2409.16914v1.pdf | Zero-Shot_Detection_of_LLM-Generated_Text_using_Token_Cohesiveness_2409.16914v1 | paper | by Gemini, the details of which are
introduced in Appendix C.
**Metric** We also follow prior work to use the area
under the receiver operating characteristic curve
(AUROC) as the evaluation metric. This metric is
based on dynamic positive-negative thresholds and
does not require specifying a fixed threshold, which
i... | What are the key limitations of existing zero-shot detectors that TOCSIN aims to address? | According to the paper "Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness", the purpose of using TOCSIN (Token Cohesiveness-based Score Improvement Network) is to improve the performance of zero-shot detectors in distinguishing between human-written and LLM-generated text.
The authors argue that exist... |
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