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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,304.07327 | OpenAssistant Conversations -- Democratizing Large Language Model
Alignment | ['Andreas Köpf', 'Yannic Kilcher', 'Dimitri von Rütte', 'Sotiris Anagnostidis', 'Zhi-Rui Tam', 'Keith Stevens', 'Abdullah Barhoum', 'Nguyen Minh Duc', 'Oliver Stanley', 'Richárd Nagyfi', 'Shahul ES', 'Sameer Suri', 'David Glushkov', 'Arnav Dantuluri', 'Andrew Maguire', 'Christoph Schuhmann', 'Huu Nguyen', 'Alexander Ma... | ['cs.CL', 'cs.AI', 'I.2'] | Aligning large language models (LLMs) with human preferences has proven to
drastically improve usability and has driven rapid adoption as demonstrated by
ChatGPT. Alignment techniques such as supervised fine-tuning (SFT) and
reinforcement learning from human feedback (RLHF) greatly reduce the required
skill and domain ... | 2023-04-14T18:01:29Z | Published in NeurIPS 2023 Datasets and Benchmarks | null | null | OpenAssistant Conversations - Democratizing Large Language Model Alignment | ['Andreas Kopf', 'Yannic Kilcher', 'Dimitri von Rutte', 'Sotiris Anagnostidis', 'Zhi Rui Tam', 'K. Stevens', 'Abdullah Barhoum', 'Nguyen Minh Duc', 'Oliver Stanley', "Rich'ard Nagyfi", 'ES Shahul', 'Sameer Suri', 'David Glushkov', 'A. Dantuluri', 'Andrew Maguire', 'Christoph Schuhmann', 'Huu Nguyen', 'A. Mattick'] | 2,023 | Neural Information Processing Systems | 641 | 54 | ['Computer Science'] |
2,304.07666 | ArguGPT: evaluating, understanding and identifying argumentative essays
generated by GPT models | ['Yikang Liu', 'Ziyin Zhang', 'Wanyang Zhang', 'Shisen Yue', 'Xiaojing Zhao', 'Xinyuan Cheng', 'Yiwen Zhang', 'Hai Hu'] | ['cs.CL'] | AI generated content (AIGC) presents considerable challenge to educators
around the world. Instructors need to be able to detect such text generated by
large language models, either with the naked eye or with the help of some
tools. There is also growing need to understand the lexical, syntactic and
stylistic features ... | 2023-04-16T01:50:26Z | null | null | null | null | null | null | null | null | null | null |
2,304.07805 | EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and
Dictionary-based Named Entity Recognition from Medical Text | ['Rafsan Ahmed', 'Petter Berntsson', 'Alexander Skafte', 'Salma Kazemi Rashed', 'Marcus Klang', 'Adam Barvesten', 'Ola Olde', 'William Lindholm', 'Antton Lamarca Arrizabalaga', 'Pierre Nugues', 'Sonja Aits'] | ['q-bio.QM', 'cs.CL', '92-04, 92-08, 68T50', 'J.3; I.2.7; H.3.3'] | Background Medical research generates millions of publications and it is a
great challenge for researchers to utilize this information in full since its
scale and complexity greatly surpasses human reading capabilities. Automated
text mining can help extract and connect information spread across this large
body of lite... | 2023-04-16T15:17:56Z | null | null | null | null | null | null | null | null | null | null |
2,304.07854 | Towards Better Instruction Following Language Models for Chinese:
Investigating the Impact of Training Data and Evaluation | ['Yunjie Ji', 'Yan Gong', 'Yong Deng', 'Yiping Peng', 'Qiang Niu', 'Baochang Ma', 'Xiangang Li'] | ['cs.CL'] | Recently, significant public efforts have been directed towards developing
low-cost models with capabilities akin to ChatGPT, thereby fostering the growth
of open-source conversational models. However, there remains a scarcity of
comprehensive and in-depth evaluations of these models' performance. In this
study, we exa... | 2023-04-16T18:37:39Z | null | null | null | Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation | ['Yunjie Ji', 'Yan Gong', 'Yong Deng', 'Yiping Peng', 'Qiang Niu', 'Baochang Ma', 'Xiangang Li'] | 2,023 | arXiv.org | 25 | 57 | ['Computer Science'] |
2,304.0788 | Sabiá: Portuguese Large Language Models | ['Ramon Pires', 'Hugo Abonizio', 'Thales Sales Almeida', 'Rodrigo Nogueira'] | ['cs.CL', 'cs.AI'] | As the capabilities of language models continue to advance, it is conceivable
that "one-size-fits-all" model will remain as the main paradigm. For instance,
given the vast number of languages worldwide, many of which are low-resource,
the prevalent practice is to pretrain a single model on multiple languages. In
this p... | 2023-04-16T20:11:19Z | null | null | 10.1007/978-3-031-45392-2_15 | null | null | null | null | null | null | null |
2,304.08069 | DETRs Beat YOLOs on Real-time Object Detection | ['Yian Zhao', 'Wenyu Lv', 'Shangliang Xu', 'Jinman Wei', 'Guanzhong Wang', 'Qingqing Dang', 'Yi Liu', 'Jie Chen'] | ['cs.CV'] | The YOLO series has become the most popular framework for real-time object
detection due to its reasonable trade-off between speed and accuracy. However,
we observe that the speed and accuracy of YOLOs are negatively affected by the
NMS. Recently, end-to-end Transformer-based detectors (DETRs) have provided an
alternat... | 2023-04-17T08:30:02Z | null | null | null | DETRs Beat YOLOs on Real-time Object Detection | ['Wenyu Lv', 'Shangliang Xu', 'Yian Zhao', 'Guanzhong Wang', 'Jinman Wei', 'Cheng Cui', 'Yuning Du', 'Qingqing Dang', 'Yi Liu'] | 2,023 | Computer Vision and Pattern Recognition | 1,027 | 61 | ['Computer Science'] |
2,304.08085 | InstructUIE: Multi-task Instruction Tuning for Unified Information
Extraction | ['Xiao Wang', 'Weikang Zhou', 'Can Zu', 'Han Xia', 'Tianze Chen', 'Yuansen Zhang', 'Rui Zheng', 'Junjie Ye', 'Qi Zhang', 'Tao Gui', 'Jihua Kang', 'Jingsheng Yang', 'Siyuan Li', 'Chunsai Du'] | ['cs.CL', 'cs.AI'] | Large language models have unlocked strong multi-task capabilities from
reading instructive prompts. However, recent studies have shown that existing
large models still have difficulty with information extraction tasks. For
example, gpt-3.5-turbo achieved an F1 score of 18.22 on the Ontonotes dataset,
which is signific... | 2023-04-17T09:00:50Z | null | null | null | null | null | null | null | null | null | null |
2,304.08177 | Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca | ['Yiming Cui', 'Ziqing Yang', 'Xin Yao'] | ['cs.CL', 'cs.HC', 'cs.LG'] | Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically
transformed natural language processing research and shown promising strides
towards Artificial General Intelligence (AGI). Nonetheless, the high costs
associated with training and deploying LLMs present substantial obstacles to
transparent, acc... | 2023-04-17T11:39:53Z | 21 pages | null | null | Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca | ['Yiming Cui', 'Ziqing Yang', 'Xin Yao'] | 2,023 | arXiv.org | 318 | 34 | ['Computer Science'] |
2,304.0846 | LongForm: Effective Instruction Tuning with Reverse Instructions | ['Abdullatif Köksal', 'Timo Schick', 'Anna Korhonen', 'Hinrich Schütze'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Instruction tuning enables language models to more effectively generalize and
better follow user intent. However, obtaining instruction data is costly and
challenging. Prior work employs methods such as expensive human annotation,
crowd-sourced datasets with alignment issues, and generating noisy examples via
LLMs. We ... | 2023-04-17T17:36:35Z | EMNLP 2024 Findings. This version extends the training with recent
LLMs, evaluation with new metrics, and NLU tasks | null | null | LongForm: Effective Instruction Tuning with Reverse Instructions | ['Abdullatif Köksal', 'Timo Schick', 'A. Korhonen', 'Hinrich Schütze'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 40 | 85 | ['Computer Science'] |
2,304.08485 | Visual Instruction Tuning | ['Haotian Liu', 'Chunyuan Li', 'Qingyang Wu', 'Yong Jae Lee'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG'] | Instruction tuning large language models (LLMs) using machine-generated
instruction-following data has improved zero-shot capabilities on new tasks,
but the idea is less explored in the multimodal field. In this paper, we
present the first attempt to use language-only GPT-4 to generate multimodal
language-image instruc... | 2023-04-17T17:59:25Z | NeurIPS 2023 Oral; project page: https://llava-vl.github.io/ | null | null | Visual Instruction Tuning | ['Haotian Liu', 'Chunyuan Li', 'Qingyang Wu', 'Yong Jae Lee'] | 2,023 | Neural Information Processing Systems | 4,950 | 63 | ['Computer Science'] |
2,304.08818 | Align your Latents: High-Resolution Video Synthesis with Latent
Diffusion Models | ['Andreas Blattmann', 'Robin Rombach', 'Huan Ling', 'Tim Dockhorn', 'Seung Wook Kim', 'Sanja Fidler', 'Karsten Kreis'] | ['cs.CV', 'cs.LG'] | Latent Diffusion Models (LDMs) enable high-quality image synthesis while
avoiding excessive compute demands by training a diffusion model in a
compressed lower-dimensional latent space. Here, we apply the LDM paradigm to
high-resolution video generation, a particularly resource-intensive task. We
first pre-train an LDM... | 2023-04-18T08:30:32Z | Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
Project page: https://research.nvidia.com/labs/toronto-ai/VideoLDM/ | null | null | Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models | ['A. Blattmann', 'Robin Rombach', 'Huan Ling', 'Tim Dockhorn', 'Seung Wook Kim', 'S. Fidler', 'Karsten Kreis'] | 2,023 | Computer Vision and Pattern Recognition | 1,108 | 121 | ['Computer Science'] |
2,304.0887 | UPGPT: Universal Diffusion Model for Person Image Generation, Editing
and Pose Transfer | ['Soon Yau Cheong', 'Armin Mustafa', 'Andrew Gilbert'] | ['cs.CV', 'cs.AI'] | Text-to-image models (T2I) such as StableDiffusion have been used to generate
high quality images of people. However, due to the random nature of the
generation process, the person has a different appearance e.g. pose, face, and
clothing, despite using the same text prompt. The appearance inconsistency
makes T2I unsuit... | 2023-04-18T10:05:37Z | null | Proceedings of the IEEE/CVF International Conference on Computer
Vision (ICCV) Workshops 2023 | null | null | null | null | null | null | null | null |
2,304.09121 | Fast Neural Scene Flow | ['Xueqian Li', 'Jianqiao Zheng', 'Francesco Ferroni', 'Jhony Kaesemodel Pontes', 'Simon Lucey'] | ['cs.CV'] | Neural Scene Flow Prior (NSFP) is of significant interest to the vision
community due to its inherent robustness to out-of-distribution (OOD) effects
and its ability to deal with dense lidar points. The approach utilizes a
coordinate neural network to estimate scene flow at runtime, without any
training. However, it is... | 2023-04-18T16:37:18Z | 17 pages, 11 figures, 6 tables | null | null | Fast Neural Scene Flow | ['Xueqian Li', 'Jianqiao Zheng', 'Francesco Ferroni', 'J. K. Pontes', 'S. Lucey'] | 2,023 | IEEE International Conference on Computer Vision | 27 | 87 | ['Computer Science'] |
2,304.09542 | Is ChatGPT Good at Search? Investigating Large Language Models as
Re-Ranking Agents | ['Weiwei Sun', 'Lingyong Yan', 'Xinyu Ma', 'Shuaiqiang Wang', 'Pengjie Ren', 'Zhumin Chen', 'Dawei Yin', 'Zhaochun Ren'] | ['cs.CL', 'cs.IR'] | Large Language Models (LLMs) have demonstrated remarkable zero-shot
generalization across various language-related tasks, including search engines.
However, existing work utilizes the generative ability of LLMs for Information
Retrieval (IR) rather than direct passage ranking. The discrepancy between the
pre-training o... | 2023-04-19T10:16:03Z | EMNLP 2023 | null | null | Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent | ['Weiwei Sun', 'Lingyong Yan', 'Xinyu Ma', 'Pengjie Ren', 'Dawei Yin', 'Z. Ren'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 315 | 46 | ['Computer Science'] |
2,304.09871 | A Theory on Adam Instability in Large-Scale Machine Learning | ['Igor Molybog', 'Peter Albert', 'Moya Chen', 'Zachary DeVito', 'David Esiobu', 'Naman Goyal', 'Punit Singh Koura', 'Sharan Narang', 'Andrew Poulton', 'Ruan Silva', 'Binh Tang', 'Diana Liskovich', 'Puxin Xu', 'Yuchen Zhang', 'Melanie Kambadur', 'Stephen Roller', 'Susan Zhang'] | ['cs.LG', 'cs.AI', 'math.OC'] | We present a theory for the previously unexplained divergent behavior noticed
in the training of large language models. We argue that the phenomenon is an
artifact of the dominant optimization algorithm used for training, called Adam.
We observe that Adam can enter a state in which the parameter update vector has
a rel... | 2023-04-19T06:15:11Z | null | null | null | A Theory on Adam Instability in Large-Scale Machine Learning | ['Igor Molybog', 'Peter Albert', 'Moya Chen', 'Zachary DeVito', 'David Esiobu', 'Naman Goyal', 'Punit Singh Koura', 'Sharan Narang', 'Andrew Poulton', 'Ruan Silva', 'Binh Tang', 'Diana Liskovich', 'Puxin Xu', 'Yuchen Zhang', 'M. Kambadur', 'Stephen Roller', 'Susan Zhang'] | 2,023 | arXiv.org | 35 | 30 | ['Computer Science', 'Mathematics'] |
2,304.10447 | Domain-specific Continued Pretraining of Language Models for Capturing
Long Context in Mental Health | ['Shaoxiong Ji', 'Tianlin Zhang', 'Kailai Yang', 'Sophia Ananiadou', 'Erik Cambria', 'Jörg Tiedemann'] | ['cs.CL'] | Pretrained language models have been used in various natural language
processing applications. In the mental health domain, domain-specific language
models are pretrained and released, which facilitates the early detection of
mental health conditions. Social posts, e.g., on Reddit, are usually long
documents. However, ... | 2023-04-20T16:43:56Z | null | null | null | Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health | ['Shaoxiong Ji', 'Tianlin Zhang', 'Kailai Yang', 'S. Ananiadou', 'E. Cambria', 'J. Tiedemann'] | 2,023 | arXiv.org | 29 | 35 | ['Computer Science'] |
2,304.10567 | Optical Emission Model for Binary Black Hole Merger Remnants Travelling
through Discs of Active Galactic Nuclei | ['J. C. Rodríguez-Ramírez', 'C. R. Bom', 'B. Fraga', 'R. Nemmen'] | ['astro-ph.HE', 'astro-ph.GA'] | Active galactic nuclei (AGNs) have been proposed as plausible sites for
hosting a sizable fraction of the binary black hole (BBH) mergers measured
through gravitational waves (GWs) by the LIGO-Virgo-Kagra (LVK) experiment.
These GWs could be accompanied by radiation feedback due to the interaction of
the BBH merger rem... | 2023-04-20T18:00:08Z | 15 pages, 9 figures. Accepted for publication in Monthly Notices of
the Royal Astronomical Society | null | 10.1093/mnras/stad3575 | null | null | null | null | null | null | null |
2,304.10592 | MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large
Language Models | ['Deyao Zhu', 'Jun Chen', 'Xiaoqian Shen', 'Xiang Li', 'Mohamed Elhoseiny'] | ['cs.CV'] | The recent GPT-4 has demonstrated extraordinary multi-modal abilities, such
as directly generating websites from handwritten text and identifying humorous
elements within images. These features are rarely observed in previous
vision-language models. However, the technical details behind GPT-4 continue to
remain undiscl... | 2023-04-20T18:25:35Z | Project Website: https://minigpt-4.github.io/; Code, Pretrained
Model, and Dataset: https://github.com/Vision-CAIR/MiniGPT-4; Deyao Zhu and
Jun Chen contributed equally to this work | null | null | MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models | ['Deyao Zhu', 'Jun Chen', 'Xiaoqian Shen', 'Xiang Li', 'Mohamed Elhoseiny'] | 2,023 | International Conference on Learning Representations | 2,080 | 62 | ['Computer Science'] |
2,304.10765 | BPJDet: Extended Object Representation for Generic Body-Part Joint
Detection | ['Huayi Zhou', 'Fei Jiang', 'Jiaxin Si', 'Yue Ding', 'Hongtao Lu'] | ['cs.CV'] | Detection of human body and its parts has been intensively studied. However,
most of CNNs-based detectors are trained independently, making it difficult to
associate detected parts with body. In this paper, we focus on the joint
detection of human body and its parts. Specifically, we propose a novel
extended object rep... | 2023-04-21T06:23:08Z | extended journal version of arXiv:2212.07652. Accepted by TPAMI2024 | null | null | null | null | null | null | null | null | null |
2,304.11029 | CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic
Music Information Retrieval | ['Shangda Wu', 'Dingyao Yu', 'Xu Tan', 'Maosong Sun'] | ['cs.SD', 'cs.IR', 'eess.AS'] | We introduce CLaMP: Contrastive Language-Music Pre-training, which learns
cross-modal representations between natural language and symbolic music using a
music encoder and a text encoder trained jointly with a contrastive loss. To
pre-train CLaMP, we collected a large dataset of 1.4 million music-text pairs.
It employe... | 2023-04-21T15:23:00Z | 11 pages, 5 figures, 5 tables, accepted by ISMIR 2023 | null | null | CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval | ['Shangda Wu', 'Dingyao Yu', 'Xu Tan', 'Maosong Sun'] | 2,023 | International Society for Music Information Retrieval Conference | 15 | 43 | ['Computer Science', 'Engineering'] |
2,304.11077 | HeRo: RoBERTa and Longformer Hebrew Language Models | ['Vitaly Shalumov', 'Harel Haskey'] | ['cs.CL', 'cs.AI'] | In this paper, we fill in an existing gap in resources available to the
Hebrew NLP community by providing it with the largest so far pre-train dataset
HeDC4, a state-of-the-art pre-trained language model HeRo for standard length
inputs and an efficient transformer LongHeRo for long input sequences. The HeRo
model was e... | 2023-04-18T05:56:32Z | null | null | null | null | null | null | null | null | null | null |
2,304.11158 | Emergent and Predictable Memorization in Large Language Models | ['Stella Biderman', 'USVSN Sai Prashanth', 'Lintang Sutawika', 'Hailey Schoelkopf', 'Quentin Anthony', 'Shivanshu Purohit', 'Edward Raff'] | ['cs.CL'] | Memorization, or the tendency of large language models (LLMs) to output
entire sequences from their training data verbatim, is a key concern for safely
deploying language models. In particular, it is vital to minimize a model's
memorization of sensitive datapoints such as those containing personal
identifiable informat... | 2023-04-21T17:58:31Z | null | null | null | Emergent and Predictable Memorization in Large Language Models | ['Stella Biderman', 'USVSN Sai Prashanth', 'Lintang Sutawika', 'Hailey Schoelkopf', 'Quentin G. Anthony', 'Shivanshu Purohit', 'Edward Raf'] | 2,023 | Neural Information Processing Systems | 125 | 63 | ['Computer Science'] |
2,304.11277 | PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel | ['Yanli Zhao', 'Andrew Gu', 'Rohan Varma', 'Liang Luo', 'Chien-Chin Huang', 'Min Xu', 'Less Wright', 'Hamid Shojanazeri', 'Myle Ott', 'Sam Shleifer', 'Alban Desmaison', 'Can Balioglu', 'Pritam Damania', 'Bernard Nguyen', 'Geeta Chauhan', 'Yuchen Hao', 'Ajit Mathews', 'Shen Li'] | ['cs.DC', 'cs.AI', 'cs.LG', 'cs.PF'] | It is widely acknowledged that large models have the potential to deliver
superior performance across a broad range of domains. Despite the remarkable
progress made in the field of machine learning systems research, which has
enabled the development and exploration of large models, such abilities remain
confined to a s... | 2023-04-21T23:52:27Z | null | null | null | PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel | ['Yanli Zhao', 'A. Gu', 'R. Varma', 'Liangchen Luo', 'Chien-chin Huang', 'Min Xu', 'Less Wright', 'Hamid Shojanazeri', 'Myle Ott', 'Sam Shleifer', 'Alban Desmaison', 'Can Balioglu', 'Bernard Nguyen', 'Geeta Chauhan', 'Y. Hao', 'Shen Li'] | 2,023 | Proceedings of the VLDB Endowment | 352 | 36 | ['Computer Science'] |
2,304.1134 | Semantic Specialization for Knowledge-based Word Sense Disambiguation | ['Sakae Mizuki', 'Naoaki Okazaki'] | ['cs.CL'] | A promising approach for knowledge-based Word Sense Disambiguation (WSD) is
to select the sense whose contextualized embeddings computed for its definition
sentence are closest to those computed for a target word in a given sentence.
This approach relies on the similarity of the \textit{sense} and
\textit{context} embe... | 2023-04-22T07:40:23Z | Accepted by EACL 2023. 14 pages | null | null | null | null | null | null | null | null | null |
2,304.1137 | SAILER: Structure-aware Pre-trained Language Model for Legal Case
Retrieval | ['Haitao Li', 'Qingyao Ai', 'Jia Chen', 'Qian Dong', 'Yueyue Wu', 'Yiqun Liu', 'Chong Chen', 'Qi Tian'] | ['cs.IR', 'cs.CL'] | Legal case retrieval, which aims to find relevant cases for a query case,
plays a core role in the intelligent legal system. Despite the success that
pre-training has achieved in ad-hoc retrieval tasks, effective pre-training
strategies for legal case retrieval remain to be explored. Compared with
general documents, le... | 2023-04-22T10:47:01Z | 10 pages, accepted by SIGIR 2023 | null | null | SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval | ['Haitao Li', 'Qingyao Ai', 'Jia Chen', 'Qian Dong', 'Yueyue Wu', 'Y. Liu', 'C. Chen', 'Qi Tian'] | 2,023 | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | 79 | 45 | ['Computer Science'] |
2,304.11389 | Transformer-Based Language Model Surprisal Predicts Human Reading Times
Best with About Two Billion Training Tokens | ['Byung-Doh Oh', 'William Schuler'] | ['cs.CL'] | Recent psycholinguistic studies have drawn conflicting conclusions about the
relationship between the quality of a language model and the ability of its
surprisal estimates to predict human reading times, which has been speculated
to be due to the large gap in both the amount of training data and model
capacity across ... | 2023-04-22T12:50:49Z | Findings of the Association for Computational Linguistics: EMNLP 2023 | null | null | Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens | ['Byung-Doh Oh', 'William Schuler'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 31 | 31 | ['Computer Science'] |
2,304.11434 | L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence
representations using multilingual BERT | ['Samruddhi Deode', 'Janhavi Gadre', 'Aditi Kajale', 'Ananya Joshi', 'Raviraj Joshi'] | ['cs.CL', 'cs.LG'] | The multilingual Sentence-BERT (SBERT) models map different languages to
common representation space and are useful for cross-language similarity and
mining tasks. We propose a simple yet effective approach to convert vanilla
multilingual BERT models into multilingual sentence BERT models using synthetic
corpus. We sim... | 2023-04-22T15:45:40Z | null | null | null | L3Cube-IndicSBERT: A simple approach for learning cross-lingual sentence representations using multilingual BERT | ['Samruddhi Deode', 'Janhavi Gadre', 'Aditi Kajale', 'Ananya Joshi', 'Raviraj Joshi'] | 2,023 | Pacific Asia Conference on Language, Information and Computation | 22 | 43 | ['Computer Science'] |
2,304.12244 | WizardLM: Empowering large pre-trained language models to follow complex
instructions | ['Can Xu', 'Qingfeng Sun', 'Kai Zheng', 'Xiubo Geng', 'Pu Zhao', 'Jiazhan Feng', 'Chongyang Tao', 'Qingwei Lin', 'Daxin Jiang'] | ['cs.CL', 'cs.AI'] | Training large language models (LLMs) with open-domain instruction following
data brings colossal success. However, manually creating such instruction data
is very time-consuming and labor-intensive. Moreover, humans may struggle to
produce high-complexity instructions. In this paper, we show an avenue for
creating lar... | 2023-04-24T16:31:06Z | large language model, instruction fine-tune | The Twelfth International Conference on Learning Representations
(ICLR 2024) | null | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions | ['Can Xu', 'Qingfeng Sun', 'Kai Zheng', 'Xiubo Geng', 'Pu Zhao', 'Jiazhan Feng', 'Chongyang Tao', 'Daxin Jiang'] | 2,023 | International Conference on Learning Representations | 1,112 | 53 | ['Computer Science'] |
2,304.12294 | Explicit Correspondence Matching for Generalizable Neural Radiance
Fields | ['Yuedong Chen', 'Haofei Xu', 'Qianyi Wu', 'Chuanxia Zheng', 'Tat-Jen Cham', 'Jianfei Cai'] | ['cs.CV'] | We present a new generalizable NeRF method that is able to directly
generalize to new unseen scenarios and perform novel view synthesis with as few
as two source views. The key to our approach lies in the explicitly modeled
correspondence matching information, so as to provide the geometry prior to the
prediction of Ne... | 2023-04-24T17:46:01Z | Code and pre-trained models: https://github.com/donydchen/matchnerf
Project Page: https://donydchen.github.io/matchnerf/ | null | null | null | null | null | null | null | null | null |
2,304.12306 | Segment Anything in Medical Images | ['Jun Ma', 'Yuting He', 'Feifei Li', 'Lin Han', 'Chenyu You', 'Bo Wang'] | ['eess.IV', 'cs.CV'] | Medical image segmentation is a critical component in clinical practice,
facilitating accurate diagnosis, treatment planning, and disease monitoring.
However, existing methods, often tailored to specific modalities or disease
types, lack generalizability across the diverse spectrum of medical image
segmentation tasks. ... | 2023-04-24T17:56:12Z | null | Nature Communications 15, 654 (2024) | 10.1038/s41467-024-44824-z | Segment anything in medical images | ['Jun Ma', 'Yuting He', 'Feifei Li', 'Li-Jun Han', 'Chenyu You', 'Bo Wang'] | 2,023 | Nature Communications | 532 | 139 | ['Engineering', 'Computer Science', 'Medicine'] |
2,304.1262 | Medical SAM Adapter: Adapting Segment Anything Model for Medical Image
Segmentation | ['Junde Wu', 'Wei Ji', 'Yuanpei Liu', 'Huazhu Fu', 'Min Xu', 'Yanwu Xu', 'Yueming Jin'] | ['cs.CV'] | The Segment Anything Model (SAM) has recently gained popularity in the field
of image segmentation due to its impressive capabilities in various
segmentation tasks and its prompt-based interface. However, recent studies and
individual experiments have shown that SAM underperforms in medical image
segmentation, since th... | 2023-04-25T07:34:22Z | Code released at:
https://github.com/KidsWithTokens/Medical-SAM-Adapter | null | null | Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation | ['Junde Wu', 'Rao Fu', 'Huihui Fang', 'Yuanpei Liu', 'Zhao-Yang Wang', 'Yanwu Xu', 'Yueming Jin', 'T. Arbel'] | 2,023 | Medical Image Analysis | 509 | 77 | ['Computer Science', 'Medicine'] |
2,304.12891 | Latent diffusion models for generative precipitation nowcasting with
accurate uncertainty quantification | ['Jussi Leinonen', 'Ulrich Hamann', 'Daniele Nerini', 'Urs Germann', 'Gabriele Franch'] | ['physics.ao-ph', 'cs.LG', 'eess.IV', 'I.2.10; J.2'] | Diffusion models have been widely adopted in image generation, producing
higher-quality and more diverse samples than generative adversarial networks
(GANs). We introduce a latent diffusion model (LDM) for precipitation
nowcasting - short-term forecasting based on the latest observational data. The
LDM is more stable a... | 2023-04-25T15:03:15Z | 18 pages, 6 figures. Submitted for publication | null | null | Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification | ['J. Leinonen', 'U. Hamann', 'D. Nerini', 'U. Germann', 'Gabriele Franch'] | 2,023 | arXiv.org | 56 | 53 | ['Physics', 'Computer Science', 'Engineering'] |
2,304.13013 | Stable and low-precision training for large-scale vision-language models | ['Mitchell Wortsman', 'Tim Dettmers', 'Luke Zettlemoyer', 'Ari Morcos', 'Ali Farhadi', 'Ludwig Schmidt'] | ['cs.LG', 'cs.CV'] | We introduce new methods for 1) accelerating and 2) stabilizing training for
large language-vision models. 1) For acceleration, we introduce SwitchBack, a
linear layer for int8 quantized training which provides a speed-up of 13-25%
while matching the performance of bfloat16 training within 0.1 percentage
points for the... | 2023-04-25T17:38:18Z | NeurIPS 2023 | null | null | Stable and low-precision training for large-scale vision-language models | ['Mitchell Wortsman', 'Tim Dettmers', 'Luke Zettlemoyer', 'Ari S. Morcos', 'Ali Farhadi', 'Ludwig Schmidt'] | 2,023 | Neural Information Processing Systems | 44 | 81 | ['Computer Science'] |
2,304.13705 | Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware | ['Tony Z. Zhao', 'Vikash Kumar', 'Sergey Levine', 'Chelsea Finn'] | ['cs.RO', 'cs.LG'] | Fine manipulation tasks, such as threading cable ties or slotting a battery,
are notoriously difficult for robots because they require precision, careful
coordination of contact forces, and closed-loop visual feedback. Performing
these tasks typically requires high-end robots, accurate sensors, or careful
calibration, ... | 2023-04-23T19:10:53Z | null | null | null | null | null | null | null | null | null | null |
2,304.13734 | The Internal State of an LLM Knows When It's Lying | ['Amos Azaria', 'Tom Mitchell'] | ['cs.CL', 'cs.AI', 'cs.LG'] | While Large Language Models (LLMs) have shown exceptional performance in
various tasks, one of their most prominent drawbacks is generating inaccurate
or false information with a confident tone. In this paper, we provide evidence
that the LLM's internal state can be used to reveal the truthfulness of
statements. This i... | 2023-04-26T02:49:38Z | null | null | null | null | null | null | null | null | null | null |
2,304.13994 | SweCTRL-Mini: a data-transparent Transformer-based large language model
for controllable text generation in Swedish | ['Dmytro Kalpakchi', 'Johan Boye'] | ['cs.CL'] | We present SweCTRL-Mini, a large Swedish language model that can be used for
inference and fine-tuning on a single consumer-grade GPU. The model is based on
the CTRL architecture by Keskar, McCann, Varshney, Xiong, and Socher (2019),
which means that users of the SweCTRL-Mini model can control the genre of the
generate... | 2023-04-27T07:32:37Z | Added information about training tokenizer | null | null | null | null | null | null | null | null | null |
2,304.14108 | DataComp: In search of the next generation of multimodal datasets | ['Samir Yitzhak Gadre', 'Gabriel Ilharco', 'Alex Fang', 'Jonathan Hayase', 'Georgios Smyrnis', 'Thao Nguyen', 'Ryan Marten', 'Mitchell Wortsman', 'Dhruba Ghosh', 'Jieyu Zhang', 'Eyal Orgad', 'Rahim Entezari', 'Giannis Daras', 'Sarah Pratt', 'Vivek Ramanujan', 'Yonatan Bitton', 'Kalyani Marathe', 'Stephen Mussmann', 'Ri... | ['cs.CV', 'cs.CL', 'cs.LG'] | Multimodal datasets are a critical component in recent breakthroughs such as
Stable Diffusion and GPT-4, yet their design does not receive the same research
attention as model architectures or training algorithms. To address this
shortcoming in the ML ecosystem, we introduce DataComp, a testbed for dataset
experiments ... | 2023-04-27T11:37:18Z | NeurIPS 2023 Datasets and Benchmarks Track | null | null | DataComp: In search of the next generation of multimodal datasets | ['S. Gadre', 'Gabriel Ilharco', 'Alex Fang', 'J. Hayase', 'G. Smyrnis', 'Thao Nguyen', 'Ryan Marten', 'Mitchell Wortsman', 'Dhruba Ghosh', 'Jieyu Zhang', 'E. Orgad', 'R. Entezari', 'Giannis Daras', 'Sarah Pratt', 'Vivek Ramanujan', 'Yonatan Bitton', 'K. Marathe', 'Stephen Mussmann', 'R. Vencu', 'Mehdi Cherti', 'Ranjay ... | 2,023 | Neural Information Processing Systems | 452 | 183 | ['Computer Science'] |
2,304.14178 | mPLUG-Owl: Modularization Empowers Large Language Models with
Multimodality | ['Qinghao Ye', 'Haiyang Xu', 'Guohai Xu', 'Jiabo Ye', 'Ming Yan', 'Yiyang Zhou', 'Junyang Wang', 'Anwen Hu', 'Pengcheng Shi', 'Yaya Shi', 'Chenliang Li', 'Yuanhong Xu', 'Hehong Chen', 'Junfeng Tian', 'Qi Qian', 'Ji Zhang', 'Fei Huang', 'Jingren Zhou'] | ['cs.CL', 'cs.CV', 'cs.LG'] | Large language models (LLMs) have demonstrated impressive zero-shot abilities
on a variety of open-ended tasks, while recent research has also explored the
use of LLMs for multi-modal generation. In this study, we introduce mPLUG-Owl,
a novel training paradigm that equips LLMs with multi-modal abilities through
modular... | 2023-04-27T13:27:01Z | Working in Process | null | null | null | null | null | null | null | null | null |
2,304.14402 | LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
Instructions | ['Minghao Wu', 'Abdul Waheed', 'Chiyu Zhang', 'Muhammad Abdul-Mageed', 'Alham Fikri Aji'] | ['cs.CL'] | Large language models (LLMs) with instruction fine-tuning demonstrate
superior generative capabilities. However, these models are resource-intensive.
To alleviate this issue, we explore distilling knowledge from instruction-tuned
LLMs into much smaller ones. To this end, we carefully develop a large set of
2.58M instru... | 2023-04-27T17:58:49Z | 21 pages, 8 figures, 17 tables, accepted by EACL2024 main conference | null | null | null | null | null | null | null | null | null |
2,304.1501 | LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model | ['Peng Gao', 'Jiaming Han', 'Renrui Zhang', 'Ziyi Lin', 'Shijie Geng', 'Aojun Zhou', 'Wei Zhang', 'Pan Lu', 'Conghui He', 'Xiangyu Yue', 'Hongsheng Li', 'Yu Qiao'] | ['cs.CV', 'cs.AI', 'cs.CL', 'cs.LG', 'cs.MM'] | How to efficiently transform large language models (LLMs) into instruction
followers is recently a popular research direction, while training LLM for
multi-modal reasoning remains less explored. Although the recent LLaMA-Adapter
demonstrates the potential to handle visual inputs with LLMs, it still cannot
generalize we... | 2023-04-28T17:59:25Z | Code and models are available at
https://github.com/ZrrSkywalker/LLaMA-Adapter | null | null | null | null | null | null | null | null | null |
2,305.00434 | EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for
Event-based Video Reconstruction | ['Burak Ercan', 'Onur Eker', 'Aykut Erdem', 'Erkut Erdem'] | ['cs.CV'] | Event cameras are a new type of vision sensor that incorporates asynchronous
and independent pixels, offering advantages over traditional frame-based
cameras such as high dynamic range and minimal motion blur. However, their
output is not easily understandable by humans, making the reconstruction of
intensity images fr... | 2023-04-30T09:28:38Z | 19 pages, 9 figures. Has been accepted for publication at the IEEE
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),
Vancouver, 2023. The project page can be found at
https://ercanburak.github.io/evreal.html | Proceedings of the IEEE/CVF Conference on Computer Vision and
Pattern Recognition (CVPR) Workshops, pages 3942-3951. 2023 | 10.1109/CVPRW59228.2023.00410 | null | null | null | null | null | null | null |
2,305.0045 | SMILE: Single-turn to Multi-turn Inclusive Language Expansion via
ChatGPT for Mental Health Support | ['Huachuan Qiu', 'Hongliang He', 'Shuai Zhang', 'Anqi Li', 'Zhenzhong Lan'] | ['cs.CL', 'cs.CY'] | Developing specialized dialogue systems for mental health support requires
multi-turn conversation data, which has recently garnered increasing attention.
However, gathering and releasing large-scale, real-life multi-turn
conversations that could facilitate advancements in mental health support
presents challenges in d... | 2023-04-30T11:26:10Z | accepted to the EMNLP 2024 Findings | null | null | SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support | ['Huachuan Qiu', 'Hongliang He', 'Shuai Zhang', 'Anqi Li', 'Zhenzhong Lan'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 29 | 57 | ['Computer Science'] |
2,305.00787 | GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking
Face Generation | ['Zhenhui Ye', 'Jinzheng He', 'Ziyue Jiang', 'Rongjie Huang', 'Jiawei Huang', 'Jinglin Liu', 'Yi Ren', 'Xiang Yin', 'Zejun Ma', 'Zhou Zhao'] | ['cs.CV'] | Generating talking person portraits with arbitrary speech audio is a crucial
problem in the field of digital human and metaverse. A modern talking face
generation method is expected to achieve the goals of generalized audio-lip
synchronization, good video quality, and high system efficiency. Recently,
neural radiance f... | 2023-05-01T12:24:09Z | 18 Pages, 7 figures | null | null | GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation | ['Zhenhui Ye', 'Jinzheng He', 'Ziyue Jiang', 'Rongjie Huang', 'Jia-Bin Huang', 'Jinglin Liu', 'Yixiang Ren', 'Xiang Yin', 'Zejun Ma', 'Zhou Zhao'] | 2,023 | arXiv.org | 31 | 51 | ['Computer Science'] |
2,305.00969 | CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds | ['David Budaghyan', 'Charles C. Onu', 'Arsenii Gorin', 'Cem Subakan', 'Doina Precup'] | ['cs.SD', 'cs.AI', 'cs.CL', 'eess.AS'] | This paper describes the Ubenwa CryCeleb dataset - a labeled collection of
infant cries - and the accompanying CryCeleb 2023 task, which is a public
speaker verification challenge based on cry sounds. We released more than 6
hours of manually segmented cry sounds from 786 newborns for academic use,
aiming to encourage ... | 2023-05-01T17:56:32Z | ICASSP 2024 | null | null | CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds | ['David Budaghyan', 'Arsenii Gorin', 'Cem Subakan', 'Charles C. Onu'] | 2,023 | IEEE International Conference on Acoustics, Speech, and Signal Processing | 7 | 20 | ['Computer Science', 'Engineering'] |
2,305.01099 | Logion: Machine Learning for Greek Philology | ['Charlie Cowen-Breen', 'Creston Brooks', 'Johannes Haubold', 'Barbara Graziosi'] | ['cs.CL', 'cs.LG', 'I.2.7'] | This paper presents machine-learning methods to address various problems in
Greek philology. After training a BERT model on the largest premodern Greek
dataset used for this purpose to date, we identify and correct previously
undetected errors made by scribes in the process of textual transmission, in
what is, to our k... | 2023-05-01T21:56:25Z | 14 pages, 4 figures | null | null | Logion: Machine Learning for Greek Philology | ['Charlie Cowen-Breen', 'Creston Brooks', 'Johannes Haubold', 'B. Graziosi'] | 2,023 | arXiv.org | 5 | 28 | ['Computer Science'] |
2,305.01115 | In-Context Learning Unlocked for Diffusion Models | ['Zhendong Wang', 'Yifan Jiang', 'Yadong Lu', 'Yelong Shen', 'Pengcheng He', 'Weizhu Chen', 'Zhangyang Wang', 'Mingyuan Zhou'] | ['cs.CV'] | We present Prompt Diffusion, a framework for enabling in-context learning in
diffusion-based generative models. Given a pair of task-specific example
images, such as depth from/to image and scribble from/to image, and a text
guidance, our model automatically understands the underlying task and performs
the same task on... | 2023-05-01T23:03:37Z | null | null | null | In-Context Learning Unlocked for Diffusion Models | ['Zhendong Wang', 'Yifan Jiang', 'Yadong Lu', 'Yelong Shen', 'Pengcheng He', 'Weizhu Chen', 'Zhangyang Wang', 'Mingyuan Zhou'] | 2,023 | Neural Information Processing Systems | 78 | 75 | ['Computer Science'] |
2,305.0121 | Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
Large Language Models for Code Generation | ['Jiawei Liu', 'Chunqiu Steven Xia', 'Yuyao Wang', 'Lingming Zhang'] | ['cs.SE', 'cs.CL', 'cs.LG'] | Program synthesis has been long studied with recent approaches focused on
directly using the power of Large Language Models (LLMs) to generate code.
Programming benchmarks, with curated synthesis problems and test-cases, are
used to measure the performance of various LLMs on code synthesis. However,
these test-cases ca... | 2023-05-02T05:46:48Z | null | null | null | Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation | ['Jiawei Liu', 'Chun Xia', 'Yuyao Wang', 'Lingming Zhang'] | 2,023 | Neural Information Processing Systems | 973 | 92 | ['Computer Science'] |
2,305.01569 | Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image
Generation | ['Yuval Kirstain', 'Adam Polyak', 'Uriel Singer', 'Shahbuland Matiana', 'Joe Penna', 'Omer Levy'] | ['cs.CV', 'cs.AI'] | The ability to collect a large dataset of human preferences from
text-to-image users is usually limited to companies, making such datasets
inaccessible to the public. To address this issue, we create a web app that
enables text-to-image users to generate images and specify their preferences.
Using this web app we build... | 2023-05-02T16:18:11Z | null | null | null | Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation | ['Yuval Kirstain', 'Adam Polyak', 'Uriel Singer', 'Shahbuland Matiana', 'Joe Penna', 'Omer Levy'] | 2,023 | Neural Information Processing Systems | 420 | 20 | ['Computer Science'] |
2,305.01625 | Unlimiformer: Long-Range Transformers with Unlimited Length Input | ['Amanda Bertsch', 'Uri Alon', 'Graham Neubig', 'Matthew R. Gormley'] | ['cs.CL'] | Since the proposal of transformers, these models have been limited to bounded
input lengths, because of their need to attend to every token in the input. In
this work, we propose Unlimiformer: a general approach that wraps any existing
pretrained encoder-decoder transformer, and offloads the cross-attention
computation... | 2023-05-02T17:35:08Z | NeurIPS 2023 | null | null | null | null | null | null | null | null | null |
2,305.01628 | The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers | ['Ariel Gera', 'Roni Friedman', 'Ofir Arviv', 'Chulaka Gunasekara', 'Benjamin Sznajder', 'Noam Slonim', 'Eyal Shnarch'] | ['cs.CL', 'cs.LG'] | Applying language models to natural language processing tasks typically
relies on the representations in the final model layer, as intermediate hidden
layer representations are presumed to be less informative. In this work, we
argue that due to the gradual improvement across model layers, additional
information can be ... | 2023-05-02T17:42:37Z | 9 pages, 8 figures; To be published in ACL 2023 | null | null | The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers | ['Ariel Gera', 'Roni Friedman', 'Ofir Arviv', 'Chulaka Gunasekara', 'B. Sznajder', 'N. Slonim', 'Eyal Shnarch'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 22 | 34 | ['Computer Science'] |
2,305.01979 | Glitch in the Matrix: A Large Scale Benchmark for Content Driven
Audio-Visual Forgery Detection and Localization | ['Zhixi Cai', 'Shreya Ghosh', 'Abhinav Dhall', 'Tom Gedeon', 'Kalin Stefanov', 'Munawar Hayat'] | ['cs.CV'] | Most deepfake detection methods focus on detecting spatial and/or
spatio-temporal changes in facial attributes and are centered around the binary
classification task of detecting whether a video is real or fake. This is
because available benchmark datasets contain mostly visual-only modifications
present in the entiret... | 2023-05-03T08:48:45Z | The paper is under consideration/review at Computer Vision and Image
Understanding Journal | null | null | "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization | ['Zhixi Cai', 'Shreya Ghosh', 'Tom Gedeon', 'Abhinav Dhall', 'Kalin Stefanov', 'Munawar Hayat'] | 2,023 | Computer Vision and Image Understanding | 29 | 112 | ['Computer Science'] |
2,305.02265 | A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from
Linguistically Complex Text | ['Yunxin Li', 'Baotian Hu', 'Yuxin Ding', 'Lin Ma', 'Min Zhang'] | ['cs.CL'] | Pretrained Vision-Language Models (VLMs) have achieved remarkable performance
in image retrieval from text. However, their performance drops drastically when
confronted with linguistically complex texts that they struggle to comprehend.
Inspired by the Divide-and-Conquer algorithm and dual-process theory, in this
paper... | 2023-05-03T16:55:00Z | Accepted to ACL 2023 Main Conference | null | null | null | null | null | null | null | null | null |
2,305.02301 | Distilling Step-by-Step! Outperforming Larger Language Models with Less
Training Data and Smaller Model Sizes | ['Cheng-Yu Hsieh', 'Chun-Liang Li', 'Chih-Kuan Yeh', 'Hootan Nakhost', 'Yasuhisa Fujii', 'Alexander Ratner', 'Ranjay Krishna', 'Chen-Yu Lee', 'Tomas Pfister'] | ['cs.CL', 'cs.AI', 'cs.LG'] | Deploying large language models (LLMs) is challenging because they are memory
inefficient and compute-intensive for practical applications. In reaction,
researchers train smaller task-specific models by either finetuning with human
labels or distilling using LLM-generated labels. However, finetuning and
distillation re... | 2023-05-03T17:50:56Z | Accepted to Findings of ACL 2023 | null | null | Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes | ['Cheng-Yu Hsieh', 'Chun-Liang Li', 'Chih-Kuan Yeh', 'Hootan Nakhost', 'Yasuhisa Fujii', 'Alexander J. Ratner', 'Ranjay Krishna', 'Chen-Yu Lee', 'Tomas Pfister'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 563 | 57 | ['Computer Science'] |
2,305.02309 | CodeGen2: Lessons for Training LLMs on Programming and Natural Languages | ['Erik Nijkamp', 'Hiroaki Hayashi', 'Caiming Xiong', 'Silvio Savarese', 'Yingbo Zhou'] | ['cs.LG'] | Large language models (LLMs) have demonstrated remarkable abilities in
representation learning for program synthesis and understanding tasks. The
quality of the learned representations appears to be dictated by the neural
scaling laws as a function of the number of model parameters and observations,
while imposing uppe... | 2023-05-03T17:55:25Z | null | null | null | null | null | null | null | null | null | null |
2,305.0233 | Robot Goes Fishing: Rapid, High-Resolution Biological Hotspot Mapping in
Coral Reefs with Vision-Guided Autonomous Underwater Vehicles | ['Daniel Yang', 'Levi Cai', 'Stewart Jamieson', 'Yogesh Girdhar'] | ['cs.RO', 'cs.CV'] | Coral reefs are fast-changing and complex ecosystems that are crucial to
monitor and study. Biological hotspot detection can help coral reef managers
prioritize limited resources for monitoring and intervention tasks. Here, we
explore the use of autonomous underwater vehicles (AUVs) with cameras, coupled
with visual de... | 2023-05-03T16:12:47Z | CV4Animals Workshop at CVPR 2023 | null | null | null | null | null | null | null | null | null |
2,305.02459 | Transfer and Active Learning for Dissonance Detection: Addressing the
Rare-Class Challenge | ['Vasudha Varadarajan', 'Swanie Juhng', 'Syeda Mahwish', 'Xiaoran Liu', 'Jonah Luby', 'Christian Luhmann', 'H. Andrew Schwartz'] | ['cs.CL', 'cs.LG'] | While transformer-based systems have enabled greater accuracies with fewer
training examples, data acquisition obstacles still persist for rare-class
tasks -- when the class label is very infrequent (e.g. < 5% of samples). Active
learning has in general been proposed to alleviate such challenges, but choice
of selectio... | 2023-05-03T23:29:05Z | null | null | null | null | null | null | null | null | null | null |
2,305.02463 | Shap-E: Generating Conditional 3D Implicit Functions | ['Heewoo Jun', 'Alex Nichol'] | ['cs.CV', 'cs.LG'] | We present Shap-E, a conditional generative model for 3D assets. Unlike
recent work on 3D generative models which produce a single output
representation, Shap-E directly generates the parameters of implicit functions
that can be rendered as both textured meshes and neural radiance fields. We
train Shap-E in two stages:... | 2023-05-03T23:59:13Z | 23 pages, 13 figures | null | null | null | null | null | null | null | null | null |
2,305.02606 | Re$^3$Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for
Long-Turn Open-Domain Dialogue Pre-training | ['Jiaxin Wen', 'Hao Zhou', 'Jian Guan', 'Minlie Huang'] | ['cs.CL'] | Pre-training on large-scale open-domain dialogue data can substantially
improve the performance of dialogue models. However, the pre-trained dialogue
model's ability to utilize long-range context is limited due to the scarcity of
long-turn dialogue sessions. Most dialogues in existing pre-training corpora
contain fewer... | 2023-05-04T07:28:23Z | EMNLP 2023 Main Coference | null | null | Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training | ['Jiaxin Wen', 'Hao Zhou', 'Jian Guan', 'Minlie Huang'] | 2,023 | Conference on Empirical Methods in Natural Language Processing | 0 | 49 | ['Computer Science'] |
2,305.02765 | HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio
Codec | ['Dongchao Yang', 'Songxiang Liu', 'Rongjie Huang', 'Jinchuan Tian', 'Chao Weng', 'Yuexian Zou'] | ['cs.SD', 'eess.AS'] | Audio codec models are widely used in audio communication as a crucial
technique for compressing audio into discrete representations. Nowadays, audio
codec models are increasingly utilized in generation fields as intermediate
representations. For instance, AudioLM is an audio generation model that uses
the discrete rep... | 2023-05-04T12:11:13Z | The second version of HiFi-Codec | null | null | null | null | null | null | null | null | null |
2,305.02869 | Masked Structural Growth for 2x Faster Language Model Pre-training | ['Yiqun Yao', 'Zheng Zhang', 'Jing Li', 'Yequan Wang'] | ['cs.CL'] | Accelerating large language model pre-training is a critical issue in present
research. In this paper, we focus on speeding up pre-training by progressively
growing from a small Transformer structure to a large one. There are two main
research problems associated with progressive growth: determining the optimal
growth ... | 2023-05-04T14:28:39Z | ICLR 2024 camera ready | null | null | null | null | null | null | null | null | null |
2,305.03058 | Plug-and-Play Multilingual Few-shot Spoken Words Recognition | ['Aaqib Saeed', 'Vasileios Tsouvalas'] | ['eess.AS', 'cs.LG', 'cs.SD'] | As technology advances and digital devices become prevalent, seamless
human-machine communication is increasingly gaining significance. The growing
adoption of mobile, wearable, and other Internet of Things (IoT) devices has
changed how we interact with these smart devices, making accurate spoken words
recognition a cr... | 2023-05-03T18:58:14Z | Code: https://github.com/FewshotML/plix | null | null | null | null | null | null | null | null | null |
2,305.03111 | Can LLM Already Serve as A Database Interface? A BIg Bench for
Large-Scale Database Grounded Text-to-SQLs | ['Jinyang Li', 'Binyuan Hui', 'Ge Qu', 'Jiaxi Yang', 'Binhua Li', 'Bowen Li', 'Bailin Wang', 'Bowen Qin', 'Rongyu Cao', 'Ruiying Geng', 'Nan Huo', 'Xuanhe Zhou', 'Chenhao Ma', 'Guoliang Li', 'Kevin C. C. Chang', 'Fei Huang', 'Reynold Cheng', 'Yongbin Li'] | ['cs.CL'] | Text-to-SQL parsing, which aims at converting natural language instructions
into executable SQLs, has gained increasing attention in recent years. In
particular, Codex and ChatGPT have shown impressive results in this task.
However, most of the prevalent benchmarks, i.e., Spider, and WikiSQL, focus on
database schema w... | 2023-05-04T19:02:29Z | NeurIPS 2023 | null | null | null | null | null | null | null | null | null |
2,305.03393 | Optimized Table Tokenization for Table Structure Recognition | ['Maksym Lysak', 'Ahmed Nassar', 'Nikolaos Livathinos', 'Christoph Auer', 'Peter Staar'] | ['cs.CV'] | Extracting tables from documents is a crucial task in any document conversion
pipeline. Recently, transformer-based models have demonstrated that
table-structure can be recognized with impressive accuracy using
Image-to-Markup-Sequence (Im2Seq) approaches. Taking only the image of a table,
such models predict a sequenc... | 2023-05-05T09:38:47Z | Accepted to ICDAR 2023, 12 pages, 6 figures | null | null | null | null | null | null | null | null | null |
2,305.03695 | Vera: A General-Purpose Plausibility Estimation Model for Commonsense
Statements | ['Jiacheng Liu', 'Wenya Wang', 'Dianzhuo Wang', 'Noah A. Smith', 'Yejin Choi', 'Hannaneh Hajishirzi'] | ['cs.CL', 'cs.AI'] | Despite the much discussed capabilities of today's language models, they are
still prone to silly and unexpected commonsense failures. We consider a
retrospective verification approach that reflects on the correctness of LM
outputs, and introduce Vera, a general-purpose model that estimates the
plausibility of declarat... | 2023-05-05T17:15:32Z | EMNLP 2023 main conference | null | null | null | null | null | null | null | null | null |
2,305.03726 | Otter: A Multi-Modal Model with In-Context Instruction Tuning | ['Bo Li', 'Yuanhan Zhang', 'Liangyu Chen', 'Jinghao Wang', 'Jingkang Yang', 'Ziwei Liu'] | ['cs.CV', 'cs.CL'] | Large language models (LLMs) have demonstrated significant universal
capabilities as few/zero-shot learners in various tasks due to their
pre-training on vast amounts of text data, as exemplified by GPT-3, which
boosted to InstrctGPT and ChatGPT, effectively following natural language
instructions to accomplish real-wo... | 2023-05-05T17:59:46Z | Technical Report | null | null | null | null | null | null | null | null | null |
2,305.0388 | NorBench -- A Benchmark for Norwegian Language Models | ['David Samuel', 'Andrey Kutuzov', 'Samia Touileb', 'Erik Velldal', 'Lilja Øvrelid', 'Egil Rønningstad', 'Elina Sigdel', 'Anna Palatkina'] | ['cs.CL'] | We present NorBench: a streamlined suite of NLP tasks and probes for
evaluating Norwegian language models (LMs) on standardized data splits and
evaluation metrics. We also introduce a range of new Norwegian language models
(both encoder and encoder-decoder based). Finally, we compare and analyze their
performance, alon... | 2023-05-06T00:20:24Z | Accepted to NoDaLiDa 2023 | null | null | null | null | null | null | null | null | null |
2,305.03907 | Listen to Look into the Future: Audio-Visual Egocentric Gaze
Anticipation | ['Bolin Lai', 'Fiona Ryan', 'Wenqi Jia', 'Miao Liu', 'James M. Rehg'] | ['cs.CV'] | Egocentric gaze anticipation serves as a key building block for the emerging
capability of Augmented Reality. Notably, gaze behavior is driven by both
visual cues and audio signals during daily activities. Motivated by this
observation, we introduce the first model that leverages both the video and
audio modalities for... | 2023-05-06T02:53:13Z | 30 pages | null | null | null | null | null | null | null | null | null |
2,305.0395 | Augmenting Passage Representations with Query Generation for Enhanced
Cross-Lingual Dense Retrieval | ['Shengyao Zhuang', 'Linjun Shou', 'Guido Zuccon'] | ['cs.IR'] | Effective cross-lingual dense retrieval methods that rely on multilingual
pre-trained language models (PLMs) need to be trained to encompass both the
relevance matching task and the cross-language alignment task. However,
cross-lingual data for training is often scarcely available. In this paper,
rather than using more... | 2023-05-06T06:34:21Z | SIGIR2023 short paper | null | 10.1145/3539618.3591952 | Augmenting Passage Representations with Query Generation for Enhanced Cross-Lingual Dense Retrieval | ['Shengyao Zhuang', 'Linjun Shou', 'G. Zuccon'] | 2,023 | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval | 8 | 48 | ['Computer Science'] |
2,305.03981 | Pre-training Language Model as a Multi-perspective Course Learner | ['Beiduo Chen', 'Shaohan Huang', 'Zihan Zhang', 'Wu Guo', 'Zhenhua Ling', 'Haizhen Huang', 'Furu Wei', 'Weiwei Deng', 'Qi Zhang'] | ['cs.CL'] | ELECTRA, the generator-discriminator pre-training framework, has achieved
impressive semantic construction capability among various downstream tasks.
Despite the convincing performance, ELECTRA still faces the challenges of
monotonous training and deficient interaction. Generator with only masked
language modeling (MLM... | 2023-05-06T09:02:10Z | Accepted as Findings of ACL 2023 | null | null | null | null | null | null | null | null | null |
2,305.04175 | Text-to-Image Diffusion Models can be Easily Backdoored through
Multimodal Data Poisoning | ['Shengfang Zhai', 'Yinpeng Dong', 'Qingni Shen', 'Shi Pu', 'Yuejian Fang', 'Hang Su'] | ['cs.CR', 'cs.CV', 'cs.MM'] | With the help of conditioning mechanisms, the state-of-the-art diffusion
models have achieved tremendous success in guided image generation,
particularly in text-to-image synthesis. To gain a better understanding of the
training process and potential risks of text-to-image synthesis, we perform a
systematic investigati... | 2023-05-07T03:21:28Z | Carmera-ready version. To appear in ACM MM 2023. Code will be
released at: https://github.com/sf-zhai/BadT2I | null | null | Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning | ['Shengfang Zhai', 'Yinpeng Dong', 'Qingni Shen', 'Shih-Chieh Pu', 'Yuejian Fang', 'Hang Su'] | 2,023 | ACM Multimedia | 77 | 46 | ['Computer Science'] |
2,305.04177 | MIReAD: Simple Method for Learning High-quality Representations from
Scientific Documents | ['Anastasia Razdaibiedina', 'Alexander Brechalov'] | ['cs.CL', 'cs.AI'] | Learning semantically meaningful representations from scientific documents
can facilitate academic literature search and improve performance of
recommendation systems. Pre-trained language models have been shown to learn
rich textual representations, yet they cannot provide powerful document-level
representations for s... | 2023-05-07T03:29:55Z | ACL 2023 (short paper) | null | null | null | null | null | null | null | null | null |
2,305.04183 | OpenViVQA: Task, Dataset, and Multimodal Fusion Models for Visual
Question Answering in Vietnamese | ['Nghia Hieu Nguyen', 'Duong T. D. Vo', 'Kiet Van Nguyen', 'Ngan Luu-Thuy Nguyen'] | ['cs.CL'] | In recent years, visual question answering (VQA) has attracted attention from
the research community because of its highly potential applications (such as
virtual assistance on intelligent cars, assistant devices for blind people, or
information retrieval from document images using natural language as queries)
and chal... | 2023-05-07T03:59:31Z | submitted to Elsevier | null | 10.1016/j.inffus.2023.101868 | null | null | null | null | null | null | null |
2,305.04365 | LatinCy: Synthetic Trained Pipelines for Latin NLP | ['Patrick J. Burns'] | ['cs.CL'] | This paper introduces LatinCy, a set of trained general purpose
Latin-language "core" pipelines for use with the spaCy natural language
processing framework. The models are trained on a large amount of available
Latin data, including all five of the Latin Universal Dependency treebanks,
which have been preprocessed to ... | 2023-05-07T19:59:01Z | 10 pages, 1 table, 4 figures | null | null | null | null | null | null | null | null | null |
2,305.0453 | A Multi-Modal Context Reasoning Approach for Conditional Inference on
Joint Textual and Visual Clues | ['Yunxin Li', 'Baotian Hu', 'Xinyu Chen', 'Yuxin Ding', 'Lin Ma', 'Min Zhang'] | ['cs.CL'] | Conditional inference on joint textual and visual clues is a multi-modal
reasoning task that textual clues provide prior permutation or external
knowledge, which are complementary with visual content and pivotal to deducing
the correct option. Previous methods utilizing pretrained vision-language
models (VLMs) have ach... | 2023-05-08T08:05:40Z | Accepted to ACL 2023 Main Conference | null | null | A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues | ['Yunxin Li', 'Baotian Hu', 'Xinyu Chen', 'Yuxin Ding', 'Lin Ma', 'Min Zhang'] | 2,023 | Annual Meeting of the Association for Computational Linguistics | 15 | 56 | ['Computer Science'] |
2,305.04919 | DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation
with Diffusion Models | ['Sicheng Yang', 'Zhiyong Wu', 'Minglei Li', 'Zhensong Zhang', 'Lei Hao', 'Weihong Bao', 'Ming Cheng', 'Long Xiao'] | ['cs.HC', 'cs.MM'] | The art of communication beyond speech there are gestures. The automatic
co-speech gesture generation draws much attention in computer animation. It is
a challenging task due to the diversity of gestures and the difficulty of
matching the rhythm and semantics of the gesture to the corresponding speech.
To address these... | 2023-05-08T17:54:58Z | 11 pages, 9 figures, IJCAI 2023 | null | null | DiffuseStyleGesture: Stylized Audio-Driven Co-Speech Gesture Generation with Diffusion Models | ['Sicheng Yang', 'Zhiyong Wu', 'Minglei Li', 'Zhensong Zhang', 'Lei Hao', 'Weihong Bao', 'Ming Cheng', 'Long Xiao'] | 2,023 | International Joint Conference on Artificial Intelligence | 71 | 56 | ['Computer Science'] |
2,305.04928 | From Zero to Hero: Harnessing Transformers for Biomedical Named Entity
Recognition in Zero- and Few-shot Contexts | ['Miloš Košprdić', 'Nikola Prodanović', 'Adela Ljajić', 'Bojana Bašaragin', 'Nikola Milošević'] | ['cs.CL', 'cs.AI', 'cs.IR'] | Supervised named entity recognition (NER) in the biomedical domain depends on
large sets of annotated texts with the given named entities. The creation of
such datasets can be time-consuming and expensive, while extraction of new
entities requires additional annotation tasks and retraining the model. To
address these c... | 2023-05-05T12:14:22Z | Collaboration between Bayer Pharma R&D and Serbian Institute for
Artificial Intelligence Research and Development. Artificial Intelligence in
Medicine (2024) | null | 10.1016/j.artmed.2024.102970 | From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts | ['Milos Kosprdic', 'Nikola Prodanović', 'Adela Ljajić', 'Bojana Bašaragin', 'Nikola Milosevic'] | 2,023 | Artif. Intell. Medicine | 7 | 64 | ['Medicine', 'Computer Science'] |
2,305.05065 | Recommender Systems with Generative Retrieval | ['Shashank Rajput', 'Nikhil Mehta', 'Anima Singh', 'Raghunandan H. Keshavan', 'Trung Vu', 'Lukasz Heldt', 'Lichan Hong', 'Yi Tay', 'Vinh Q. Tran', 'Jonah Samost', 'Maciej Kula', 'Ed H. Chi', 'Maheswaran Sathiamoorthy'] | ['cs.IR', 'cs.LG'] | Modern recommender systems perform large-scale retrieval by first embedding
queries and item candidates in the same unified space, followed by approximate
nearest neighbor search to select top candidates given a query embedding. In
this paper, we propose a novel generative retrieval approach, where the
retrieval model ... | 2023-05-08T21:48:17Z | To appear in The 37th Conference on Neural Information Processing
Systems (NeurIPS 2023) | null | null | null | null | null | null | null | null | null |
2,305.05084 | Fast Conformer with Linearly Scalable Attention for Efficient Speech
Recognition | ['Dima Rekesh', 'Nithin Rao Koluguri', 'Samuel Kriman', 'Somshubra Majumdar', 'Vahid Noroozi', 'He Huang', 'Oleksii Hrinchuk', 'Krishna Puvvada', 'Ankur Kumar', 'Jagadeesh Balam', 'Boris Ginsburg'] | ['eess.AS', 'cs.SD'] | Conformer-based models have become the dominant end-to-end architecture for
speech processing tasks. With the objective of enhancing the conformer
architecture for efficient training and inference, we carefully redesigned
Conformer with a novel downsampling schema. The proposed model, named Fast
Conformer(FC), is 2.8x ... | 2023-05-08T22:54:07Z | Accepted at ASRU 2023 | null | null | Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition | ['D. Rekesh', 'Samuel Kriman', 'Somshubra Majumdar', 'V. Noroozi', 'He Juang', 'Oleksii Hrinchuk', 'Ankur Kumar', 'Boris Ginsburg'] | 2,023 | Automatic Speech Recognition & Understanding | 92 | 34 | ['Engineering', 'Computer Science'] |
2,305.05255 | Emolysis: A Multimodal Open-Source Group Emotion Analysis and
Visualization Toolkit | ['Shreya Ghosh', 'Zhixi Cai', 'Parul Gupta', 'Garima Sharma', 'Abhinav Dhall', 'Munawar Hayat', 'Tom Gedeon'] | ['cs.HC'] | Automatic group emotion recognition plays an important role in understanding
complex human-human interaction. This paper introduces, Emolysis, a
Python-based, standalone open-source group emotion analysis toolkit for use in
different social situations upon getting consent from the users. Given any
input video, Emolysis... | 2023-05-09T08:23:12Z | Accepted by ACII Demo 2024. Both Shreya Ghosh and Zhixi Cai
contributed equally to this research | null | null | null | null | null | null | null | null | null |
2,305.0528 | VCSUM: A Versatile Chinese Meeting Summarization Dataset | ['Han Wu', 'Mingjie Zhan', 'Haochen Tan', 'Zhaohui Hou', 'Ding Liang', 'Linqi Song'] | ['cs.CL', 'cs.AI'] | Compared to news and chat summarization, the development of meeting
summarization is hugely decelerated by the limited data. To this end, we
introduce a versatile Chinese meeting summarization dataset, dubbed VCSum,
consisting of 239 real-life meetings, with a total duration of over 230 hours.
We claim our dataset is v... | 2023-05-09T09:07:15Z | Findings of ACL 2023 (long paper). GitHub:
https://github.com/hahahawu/VCSum | null | null | null | null | null | null | null | null | null |
2,305.05322 | TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition | ['Tianlun Zheng', 'Zhineng Chen', 'Jinfeng Bai', 'Hongtao Xie', 'Yu-Gang Jiang'] | ['cs.CV'] | Text irregularities pose significant challenges to scene text recognizers.
Thin-Plate Spline (TPS)-based rectification is widely regarded as an effective
means to deal with them. Currently, the calculation of TPS transformation
parameters purely depends on the quality of regressed text borders. It ignores
the text cont... | 2023-05-09T10:16:43Z | Accepted by IJCAI 2023 | null | null | TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition | ['Tianlun Zheng', 'Zhineng Chen', 'Jinfeng Bai', 'Hongtao Xie', 'Yu-Gang Jiang'] | 2,023 | International Joint Conference on Artificial Intelligence | 19 | 56 | ['Computer Science'] |
2,305.05401 | Learn to Sing by Listening: Building Controllable Virtual Singer by
Unsupervised Learning from Voice Recordings | ['Wei Xue', 'Yiwen Wang', 'Qifeng Liu', 'Yike Guo'] | ['cs.SD', 'eess.AS'] | The virtual world is being established in which digital humans are created
indistinguishable from real humans. Producing their audio-related capabilities
is crucial since voice conveys extensive personal characteristics. We aim to
create a controllable audio-form virtual singer; however, supervised modeling
and control... | 2023-05-09T12:45:45Z | null | null | null | Learn to Sing by Listening: Building Controllable Virtual Singer by Unsupervised Learning from Voice Recordings | ['Wei Xue', 'Yiwen Wang', 'Qi-fei Liu', 'Yi-Ting Guo'] | 2,023 | arXiv.org | 1 | 64 | ['Computer Science', 'Engineering'] |
2,305.05471 | Beyond Good Intentions: Reporting the Research Landscape of NLP for
Social Good | ['Fernando Gonzalez', 'Zhijing Jin', 'Bernhard Schölkopf', 'Tom Hope', 'Mrinmaya Sachan', 'Rada Mihalcea'] | ['cs.CL'] | With the recent advances in natural language processing (NLP), a vast number
of applications have emerged across various use cases. Among the plethora of
NLP applications, many academic researchers are motivated to do work that has a
positive social impact, in line with the recent initiatives of NLP for Social
Good (NL... | 2023-05-09T14:16:25Z | EMNLP 2023 Findings | null | null | null | null | null | null | null | null | null |
2,305.05486 | MAUPQA: Massive Automatically-created Polish Question Answering Dataset | ['Piotr Rybak'] | ['cs.CL'] | Recently, open-domain question answering systems have begun to rely heavily
on annotated datasets to train neural passage retrievers. However, manually
annotating such datasets is both difficult and time-consuming, which limits
their availability for less popular languages. In this work, we experiment with
several meth... | 2023-05-09T14:36:04Z | null | null | null | null | null | null | null | null | null | null |
2,305.05858 | Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages | ['Rahul Aralikatte', 'Ziling Cheng', 'Sumanth Doddapaneni', 'Jackie Chi Kit Cheung'] | ['cs.CL'] | We present V\=arta, a large-scale multilingual dataset for headline
generation in Indic languages. This dataset includes 41.8 million news articles
in 14 different Indic languages (and English), which come from a variety of
high-quality sources. To the best of our knowledge, this is the largest
collection of curated ar... | 2023-05-10T03:07:17Z | Findings of ACL 2023 | null | null | null | null | null | null | null | null | null |
2,305.0614 | CrudeBERT: Applying Economic Theory towards fine-tuning
Transformer-based Sentiment Analysis Models to the Crude Oil Market | ['Himmet Kaplan', 'Ralf-Peter Mundani', 'Heiko Rölke', 'Albert Weichselbraun'] | ['cs.IR', 'cs.LG', 'H.3; H.4; I.2.7'] | Predicting market movements based on the sentiment of news media has a long
tradition in data analysis. With advances in natural language processing,
transformer architectures have emerged that enable contextually aware sentiment
classification. Nevertheless, current methods built for the general financial
market such ... | 2023-05-10T13:42:56Z | null | Proceedings of the 25th International Conference on Enterprise
Information Systems (ICEIS 2023), pages 324-334 | 10.5220/0011749600003467 | null | null | null | null | null | null | null |
2,305.06156 | The Vault: A Comprehensive Multilingual Dataset for Advancing Code
Understanding and Generation | ['Dung Nguyen Manh', 'Nam Le Hai', 'Anh T. V. Dau', 'Anh Minh Nguyen', 'Khanh Nghiem', 'Jin Guo', 'Nghi D. Q. Bui'] | ['cs.CL', 'cs.AI', 'cs.PL', 'cs.SE'] | We present The Vault, a dataset of high-quality code-text pairs in multiple
programming languages for training large language models to understand and
generate code. We present methods for thoroughly extracting samples that use
both rule-based and deep learning-based methods to ensure that they contain
high-quality pai... | 2023-05-09T09:35:03Z | Accepted at EMNLP 2023, Long Findings | null | null | null | null | null | null | null | null | null |
2,305.06161 | StarCoder: may the source be with you! | ['Raymond Li', 'Loubna Ben Allal', 'Yangtian Zi', 'Niklas Muennighoff', 'Denis Kocetkov', 'Chenghao Mou', 'Marc Marone', 'Christopher Akiki', 'Jia Li', 'Jenny Chim', 'Qian Liu', 'Evgenii Zheltonozhskii', 'Terry Yue Zhuo', 'Thomas Wang', 'Olivier Dehaene', 'Mishig Davaadorj', 'Joel Lamy-Poirier', 'João Monteiro', 'Oleh ... | ['cs.CL', 'cs.AI', 'cs.PL', 'cs.SE'] | The BigCode community, an open-scientific collaboration working on the
responsible development of Large Language Models for Code (Code LLMs),
introduces StarCoder and StarCoderBase: 15.5B parameter models with 8K context
length, infilling capabilities and fast large-batch inference enabled by
multi-query attention. Sta... | 2023-05-09T08:16:42Z | null | null | null | null | null | null | null | null | null | null |
2,305.06274 | Context-Aware Document Simplification | ['Liam Cripwell', 'Joël Legrand', 'Claire Gardent'] | ['cs.CL'] | To date, most work on text simplification has focused on sentence-level
inputs. Early attempts at document simplification merely applied these
approaches iteratively over the sentences of a document. However, this fails to
coherently preserve the discourse structure, leading to suboptimal output
quality. Recently, stra... | 2023-05-10T16:06:36Z | Accepted to Findings of ACL 2023 | null | null | null | null | null | null | null | null | null |
2,305.06355 | VideoChat: Chat-Centric Video Understanding | ['KunChang Li', 'Yinan He', 'Yi Wang', 'Yizhuo Li', 'Wenhai Wang', 'Ping Luo', 'Yali Wang', 'Limin Wang', 'Yu Qiao'] | ['cs.CV', 'cs.CL'] | In this paper, we initiate an attempt of developing an end-to-end
chat-centric video understanding system, coined as VideoChat. It integrates
video foundation models and large language models via a learnable neural
interface, excelling in spatiotemporal reasoning, event localization, and
causal relationship inference. ... | 2023-05-10T17:59:04Z | Technical report | null | null | VideoChat: Chat-Centric Video Understanding | ['Kunchang Li', 'Yinan He', 'Yi Wang', 'Yizhuo Li', 'Wen Wang', 'Ping Luo', 'Yali Wang', 'Limin Wang', 'Yu Qiao'] | 2,023 | arXiv.org | 586 | 66 | ['Computer Science'] |
2,305.065 | InstructBLIP: Towards General-purpose Vision-Language Models with
Instruction Tuning | ['Wenliang Dai', 'Junnan Li', 'Dongxu Li', 'Anthony Meng Huat Tiong', 'Junqi Zhao', 'Weisheng Wang', 'Boyang Li', 'Pascale Fung', 'Steven Hoi'] | ['cs.CV', 'cs.LG'] | Large-scale pre-training and instruction tuning have been successful at
creating general-purpose language models with broad competence. However,
building general-purpose vision-language models is challenging due to the rich
input distributions and task diversity resulting from the additional visual
input. Although visi... | 2023-05-11T00:38:10Z | preprint | null | null | InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning | ['Wenliang Dai', 'Junnan Li', 'Dongxu Li', 'A. M. H. Tiong', 'Junqi Zhao', 'Weisheng Wang', 'Boyang Albert Li', 'Pascale Fung', 'Steven C. H. Hoi'] | 2,023 | Neural Information Processing Systems | 2,105 | 52 | ['Computer Science'] |
2,305.06721 | Advancing Neural Encoding of Portuguese with Transformer Albertina PT-* | ['João Rodrigues', 'Luís Gomes', 'João Silva', 'António Branco', 'Rodrigo Santos', 'Henrique Lopes Cardoso', 'Tomás Osório'] | ['cs.CL'] | To advance the neural encoding of Portuguese (PT), and a fortiori the
technological preparation of this language for the digital age, we developed a
Transformer-based foundation model that sets a new state of the art in this
respect for two of its variants, namely European Portuguese from Portugal
(PT-PT) and American ... | 2023-05-11T10:56:20Z | null | null | 10.1007/978-3-031-49008-8_35 | null | null | null | null | null | null | null |
2,305.06897 | AfriQA: Cross-lingual Open-Retrieval Question Answering for African
Languages | ['Odunayo Ogundepo', 'Tajuddeen R. Gwadabe', 'Clara E. Rivera', 'Jonathan H. Clark', 'Sebastian Ruder', 'David Ifeoluwa Adelani', 'Bonaventure F. P. Dossou', 'Abdou Aziz DIOP', 'Claytone Sikasote', 'Gilles Hacheme', 'Happy Buzaaba', 'Ignatius Ezeani', 'Rooweither Mabuya', 'Salomey Osei', 'Chris Emezue', 'Albert Njoroge... | ['cs.CL', 'cs.AI', 'cs.IR'] | African languages have far less in-language content available digitally,
making it challenging for question answering systems to satisfy the information
needs of users. Cross-lingual open-retrieval question answering (XOR QA)
systems -- those that retrieve answer content from other languages while
serving people in the... | 2023-05-11T15:34:53Z | null | null | null | AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages | ['Odunayo Ogundepo', 'T. Gwadabe', 'Clara Rivera', 'J. Clark', 'Sebastian Ruder', 'David Ifeoluwa Adelani', 'Bonaventure F. P. Dossou', 'Abdoulahat Diop', 'Claytone Sikasote', 'Gilles Hacheme', 'Happy Buzaaba', 'Ignatius M Ezeani', 'Rooweither Mabuya', 'Salomey Osei', 'Chris C. Emezue', 'A. Kahira', 'Shamsuddeen Hassan... | 2,023 | Conference on Empirical Methods in Natural Language Processing | 16 | 62 | ['Computer Science'] |
2,305.07015 | Exploiting Diffusion Prior for Real-World Image Super-Resolution | ['Jianyi Wang', 'Zongsheng Yue', 'Shangchen Zhou', 'Kelvin C. K. Chan', 'Chen Change Loy'] | ['cs.CV'] | We present a novel approach to leverage prior knowledge encapsulated in
pre-trained text-to-image diffusion models for blind super-resolution (SR).
Specifically, by employing our time-aware encoder, we can achieve promising
restoration results without altering the pre-trained synthesis model, thereby
preserving the gen... | 2023-05-11T17:55:25Z | Accepted by IJCV'2024. Some Figs are compressed due to size limits.
Uncompressed ver.:
https://github.com/IceClear/StableSR/releases/download/UncompressedPDF/StableSR_IJCV_Uncompressed.pdf.
Project page: https://iceclear.github.io/projects/stablesr/ | null | null | null | null | null | null | null | null | null |
2,305.07017 | An Inverse Scaling Law for CLIP Training | ['Xianhang Li', 'Zeyu Wang', 'Cihang Xie'] | ['cs.CV'] | CLIP, one of the pioneering foundation models that connect images and text,
has enabled many recent breakthroughs in computer vision. However, its
associated training cost is prohibitively high, imposing a significant barrier
to its widespread exploration. In this paper, we present a surprising finding
that there exist... | 2023-05-11T17:56:09Z | NeurIPS 2023 camera-ready | null | null | null | null | null | null | null | null | null |
2,305.07027 | EfficientViT: Memory Efficient Vision Transformer with Cascaded Group
Attention | ['Xinyu Liu', 'Houwen Peng', 'Ningxin Zheng', 'Yuqing Yang', 'Han Hu', 'Yixuan Yuan'] | ['cs.CV'] | Vision transformers have shown great success due to their high model
capabilities. However, their remarkable performance is accompanied by heavy
computation costs, which makes them unsuitable for real-time applications. In
this paper, we propose a family of high-speed vision transformers named
EfficientViT. We find tha... | 2023-05-11T17:59:41Z | CVPR 2023 | null | null | null | null | null | null | null | null | null |
2,305.07152 | Intuitive Surgical SurgToolLoc Challenge Results: 2022-2023 | ['Aneeq Zia', 'Max Berniker', 'Rogerio Garcia Nespolo', 'Conor Perreault', 'Kiran Bhattacharyya', 'Xi Liu', 'Ziheng Wang', 'Satoshi Kondo', 'Satoshi Kasai', 'Kousuke Hirasawa', 'Bo Liu', 'David Austin', 'Yiheng Wang', 'Michal Futrega', 'Jean-Francois Puget', 'Zhenqiang Li', 'Yoichi Sato', 'Ryo Fujii', 'Ryo Hachiuma', '... | ['cs.CV'] | Robotic assisted (RA) surgery promises to transform surgical intervention.
Intuitive Surgical is committed to fostering these changes and the machine
learning models and algorithms that will enable them. With these goals in mind
we have invited the surgical data science community to participate in a yearly
competition ... | 2023-05-11T21:44:39Z | null | null | null | null | null | null | null | null | null | null |
2,305.07243 | Better speech synthesis through scaling | ['James Betker'] | ['cs.SD', 'cs.CL', 'eess.AS'] | In recent years, the field of image generation has been revolutionized by the
application of autoregressive transformers and DDPMs. These approaches model
the process of image generation as a step-wise probabilistic processes and
leverage large amounts of compute and data to learn the image distribution.
This methodolo... | 2023-05-12T04:19:49Z | null | null | null | Better speech synthesis through scaling | ['James Betker'] | 2,023 | arXiv.org | 73 | 19 | ['Computer Science', 'Engineering'] |
2,305.07372 | Interactive Text-to-SQL Generation via Editable Step-by-Step
Explanations | ['Yuan Tian', 'Zheng Zhang', 'Zheng Ning', 'Toby Jia-Jun Li', 'Jonathan K. Kummerfeld', 'Tianyi Zhang'] | ['cs.DB', 'cs.CL', 'I.2.7'] | Relational databases play an important role in business, science, and more.
However, many users cannot fully unleash the analytical power of relational
databases, because they are not familiar with database languages such as SQL.
Many techniques have been proposed to automatically generate SQL from natural
language, bu... | 2023-05-12T10:45:29Z | Accepted to EMNLP 2023 | null | null | null | null | null | null | null | null | null |
2,305.07489 | Benchmarks and leaderboards for sound demixing tasks | ['Roman Solovyev', 'Alexander Stempkovskiy', 'Tatiana Habruseva'] | ['cs.SD', 'cs.LG', 'eess.AS'] | Music demixing is the task of separating different tracks from the given
single audio signal into components, such as drums, bass, and vocals from the
rest of the accompaniment. Separation of sources is useful for a range of
areas, including entertainment and hearing aids. In this paper, we introduce
two new benchmarks... | 2023-05-12T14:00:26Z | null | null | null | null | null | null | null | null | null | null |
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