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What field is the article from? | Title: PBWR: Parametric Building Wireframe Reconstruction from Aerial LiDAR Point Clouds
Abstract: In this paper, we present an end-to-end 3D building wireframe reconstruction
method to regress edges directly from aerial LiDAR point clouds.Our method,
named Parametric Building Wireframe Reconstruction (PBWR), takes aer... | Computer Vision |
What field is the article from? | Title: Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation
Abstract: Vision-and-Language models such as CLIP have demonstrated remarkable
effectiveness across a wide range of tasks. However, these models are typically
trained on web-scale data, which can introduce inappropr... | Computer Vision |
What field is the article from? | Title: Confidant: Customizing Transformer-based LLMs via Collaborative Edge Training
Abstract: Transformer-based large language models (LLMs) have demonstrated impressive
capabilities in a variety of natural language processing (NLP) tasks.
Nonetheless, it is challenging to deploy and fine-tune LLMs on mobile edge
devi... | Machine Learning |
What field is the article from? | Title: VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing
Abstract: Reflective listening is a fundamental skill that counselors must acquire to
achieve proficiency in motivational interviewing (MI). It involves responding
in a manner that acknowledges and explores the meaning of what the client ha... | Computational Linguistics |
What field is the article from? | Title: Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering
Abstract: Graph clustering has been popularly studied in recent years. However, most
existing graph clustering methods focus on node-level clustering, i.e.,
grouping nodes in a single graph into clusters. In contrast, graph-level
clustering... | Machine Learning |
What field is the article from? | Title: AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes
Abstract: We introduce AnyHome, a framework that translates open-vocabulary
descriptions, ranging from simple labels to elaborate paragraphs, into
well-structured and textured 3D indoor scenes at a house-scale. Inspired by
cognition theories... | Computer Vision |
What field is the article from? | Title: Towards General-Purpose Speech Abilities for Large Language Models Using Unpaired Data
Abstract: In this work, we extend the instruction-tuned Llama-2 model with end-to-end
general-purpose speech processing and reasoning abilities while maintaining the
wide range of LLM capabilities, without using any carefully ... | Computational Linguistics |
What field is the article from? | Title: SPLAIN: Augmenting Cybersecurity Warnings with Reasons and Data
Abstract: Effective cyber threat recognition and prevention demand comprehensible
forecasting systems, as prior approaches commonly offer limited and,
ultimately, unconvincing information. We introduce Simplified Plaintext
Language (SPLAIN), a natur... | Computational Linguistics |
What field is the article from? | Title: Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks
Abstract: Several methods have been proposed recently to learn neural network (NN)
controllers for autonomous agents, with unknown and stochastic dynamics, tasked
with complex missions captured by Linear Temporal Logic... | Robotics |
What field is the article from? | Title: Othello is Solved
Abstract: The game of Othello is one of the world's most complex and popular games that
has yet to be computationally solved. Othello has roughly ten octodecillion (10
to the 58th power) possible game records and ten octillion (10 to the 28th
power) possible game positions. The challenge of sol... | Artificial Intelligence |
What field is the article from? | Title: A Novel Energy based Model Mechanism for Multi-modal Aspect-Based Sentiment Analysis
Abstract: Multi-modal aspect-based sentiment analysis (MABSA) has recently attracted
increasing attention. The span-based extraction methods, such as FSUIE,
demonstrate strong performance in sentiment analysis due to their joint... | Artificial Intelligence |
What field is the article from? | Title: Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
Abstract: We present Multi-EuP, a new multilingual benchmark dataset, comprising 22K
multi-lingual documents collected from the European Parliament, spanning 24
languages. This dataset is designed to investigate... | Computational Linguistics |
What field is the article from? | Title: Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions
Abstract: We suggest the use of hash functions to cut down the communication costs when
counting subgraphs under edge local differential privacy. While various
algorithms exist for computing graph statistics, i... | Cryptography and Security |
What field is the article from? | Title: ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology
Abstract: The ACL Anthology is an online repository that serves as a comprehensive
collection of publications in the field of natural language processing (NLP)
and computational linguistics (CL). This paper presents a tool called `... | Computational Linguistics |
What field is the article from? | Title: Proposal-Contrastive Pretraining for Object Detection from Fewer Data
Abstract: The use of pretrained deep neural networks represents an attractive way to
achieve strong results with few data available. When specialized in dense
problems such as object detection, learning local rather than global
information in ... | Computer Vision |
What field is the article from? | Title: AI Use in Manuscript Preparation for Academic Journals
Abstract: The emergent abilities of Large Language Models (LLMs), which power tools
like ChatGPT and Bard, have produced both excitement and worry about how AI
will impact academic writing. In response to rising concerns about AI use,
authors of academic pub... | Computers and Society |
What field is the article from? | Title: How much can change in a year? Revisiting Evaluation in Multi-Agent Reinforcement Learning
Abstract: Establishing sound experimental standards and rigour is important in any
growing field of research. Deep Multi-Agent Reinforcement Learning (MARL) is
one such nascent field. Although exciting progress has been ma... | Artificial Intelligence |
What field is the article from? | Title: Predictive Chemistry Augmented with Text Retrieval
Abstract: This paper focuses on using natural language descriptions to enhance
predictive models in the chemistry field. Conventionally, chemoinformatics
models are trained with extensive structured data manually extracted from the
literature. In this paper, we ... | Computational Linguistics |
What field is the article from? | Title: Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous
Abstract: Research on developing deep learning techniques for autonomous spacecraft
relative navigation challenges is continuously growing in recent years.
Adopting those techniques offers enhanced performa... | Computer Vision |
What field is the article from? | Title: Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery
Abstract: This paper explores post-disaster analytics using multimodal deep learning
models trained with curriculum learning method. Studying post-disaster
analytics is important as it plays a crucial role in mitigating the impact ... | Computer Vision |
What field is the article from? | Title: VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems
Abstract: Enhancing roadway safety and traffic management has become an essential focus
area for a broad range of modern cyber-physical systems and intelligent
transportation systems. Vehicle Traj... | Computer Vision |
What field is the article from? | Title: A Simple and Scalable Representation for Graph Generation
Abstract: Recently, there has been a surge of interest in employing neural networks for
graph generation, a fundamental statistical learning problem with critical
applications like molecule design and community analysis. However, most
approaches encounter... | Machine Learning |
What field is the article from? | Title: Incidental Polysemanticity
Abstract: Polysemantic neurons (neurons that activate for a set of unrelated features)
have been seen as a significant obstacle towards interpretability of
task-optimized deep networks, with implications for AI safety. The classic
origin story of polysemanticity is that the data contai... | Machine Learning |
What field is the article from? | Title: Evaluating Gender Bias in the Translation of Gender-Neutral Languages into English
Abstract: Machine Translation (MT) continues to improve in quality and adoption, yet
the inadvertent perpetuation of gender bias remains a significant concern.
Despite numerous studies into gender bias in translations from gender-... | Computational Linguistics |
What field is the article from? | Title: ProTIP: Progressive Tool Retrieval Improves Planning
Abstract: Large language models (LLMs) are increasingly employed for complex multi-step
planning tasks, where the tool retrieval (TR) step is crucial for achieving
successful outcomes. Two prevalent approaches for TR are single-step retrieval,
which utilizes t... | Information Retrieval |
What field is the article from? | Title: PROFL: A Privacy-Preserving Federated Learning Method with Stringent Defense Against Poisoning Attacks
Abstract: Federated Learning (FL) faces two major issues: privacy leakage and poisoning
attacks, which may seriously undermine the reliability and security of the
system. Overcoming them simultaneously poses a ... | Cryptography and Security |
What field is the article from? | Title: LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World
Abstract: This work addresses the problem of long-horizon task planning with the Large
Language Model (LLM) in an open-world household environment. Existing works
fail to explicitly track key objects and attributes, leadi... | Robotics |
What field is the article from? | Title: PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications
Abstract: Large protein language models are adept at capturing the underlying
evolutionary information in primary structures, offering significant practical
value for protein engineering. Compared to na... | Computational Linguistics |
What field is the article from? | Title: Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Abstract: Mechanistic interpretability aims to understand model behaviors in terms of
specific, interpretable features, often hypothesized to manifest as
low-dimensional subspaces of activations. Specifically,... | Machine Learning |
What field is the article from? | Title: Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Abstract: The advancements in generative modeling, particularly the advent of diffusion
models, have sparked a fundamental question: how can these models be
effectively used for discriminative tasks? In this work, we find that
g... | Computer Vision |
What field is the article from? | Title: SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Abstract: Robotic agents trained using reinforcement learning have the problem of
taking unreliable actions in an out-of-distribution (OOD) state. Agents can
easily become OOD in real-world environments because it is al... | Machine Learning |
What field is the article from? | Title: FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts
Abstract: Ensuring the safety of artificial intelligence-generated content (AIGC) is a
longstanding topic in the artificial intelligence (AI) community, and the
safety concerns associated with Large Language Models (LLMs) have been... | Cryptography and Security |
What field is the article from? | Title: LLMaAA: Making Large Language Models as Active Annotators
Abstract: Prevalent supervised learning methods in natural language processing (NLP)
are notoriously data-hungry, which demand large amounts of high-quality
annotated data. In practice, acquiring such data is a costly endeavor.
Recently, the superior few-... | Computational Linguistics |
What field is the article from? | Title: Teaching Robots to Build Simulations of Themselves
Abstract: Simulation enables robots to plan and estimate the outcomes of prospective
actions without the need to physically execute them. We introduce a
self-supervised learning framework to enable robots model and predict their
morphology, kinematics and motor ... | Robotics |
What field is the article from? | Title: Can We Utilize Pre-trained Language Models within Causal Discovery Algorithms?
Abstract: Scaling laws have allowed Pre-trained Language Models (PLMs) into the field
of causal reasoning. Causal reasoning of PLM relies solely on text-based
descriptions, in contrast to causal discovery which aims to determine the
c... | Artificial Intelligence |
What field is the article from? | Title: A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs
Abstract: For intelligent quadcopter UAVs, a robust and reliable autonomous planning
system is crucial. Most current trajectory planning methods for UAVs are
suitable for s... | Robotics |
What field is the article from? | Title: Bespoke Solvers for Generative Flow Models
Abstract: Diffusion or flow-based models are powerful generative paradigms that are
notoriously hard to sample as samples are defined as solutions to
high-dimensional Ordinary or Stochastic Differential Equations (ODEs/SDEs)
which require a large Number of Function Eval... | Machine Learning |
What field is the article from? | Title: Large Language Models and Explainable Law: a Hybrid Methodology
Abstract: The paper advocates for LLMs to enhance the accessibility, usage and
explainability of rule-based legal systems, contributing to a democratic and
stakeholder-oriented view of legal technology. A methodology is developed to
explore the pote... | Artificial Intelligence |
What field is the article from? | Title: Towards Exploratory Reformulation of Constraint Models
Abstract: It is well established that formulating an effective constraint model of a
problem of interest is crucial to the efficiency with which it can subsequently
be solved. Following from the observation that it is difficult, if not
impossible, to know a ... | Artificial Intelligence |
What field is the article from? | Title: The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
Abstract: Accountability in the workplace is critically important and remains a
challenging problem, especially with respect to workplace safety management. In
this paper, we introduce a novel notion, the Internet of... | Computers and Society |
What field is the article from? | Title: Colour versus Shape Goal Misgeneralization in Reinforcement Learning: A Case Study
Abstract: We explore colour versus shape goal misgeneralization originally demonstrated
by Di Langosco et al. (2022) in the Procgen Maze environment, where, given an
ambiguous choice, the agents seem to prefer generalization based... | Machine Learning |
What field is the article from? | Title: Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation
Abstract: Fully test-time adaptation (FTTA) adapts a model that is trained on a source
domain to a target domain during the testing phase, where the two domains
follow different distributions and source data is unavailable ... | Artificial Intelligence |
What field is the article from? | Title: Building the Future of Responsible AI: A Reference Architecture for Designing Large Language Model based Agents
Abstract: Large language models (LLMs) have been widely recognised as transformative
artificial generative intelligence (AGI) technologies due to their capabilities
to understand and generate content, ... | Artificial Intelligence |
What field is the article from? | Title: AI-enhanced Auto-correction of Programming Exercises: How Effective is GPT-3.5?
Abstract: Timely formative feedback is considered as one of the most important drivers
for effective learning. Delivering timely and individualized feedback is
particularly challenging in large classes in higher education. Recently L... | Computers and Society |
What field is the article from? | Title: Multi-dimensional data refining strategy for effective fine-tuning LLMs
Abstract: Data is a cornerstone for fine-tuning large language models, yet acquiring
suitable data remains challenging. Challenges encompassed data scarcity,
linguistic diversity, and domain-specific content. This paper presents lessons
lear... | Computational Linguistics |
What field is the article from? | Title: An energy-based comparative analysis of common approaches to text classification in the Legal domain
Abstract: Most Machine Learning research evaluates the best solutions in terms of
performance. However, in the race for the best performing model, many important
aspects are often overlooked when, on the contrary... | Computational Linguistics |
What field is the article from? | Title: PortfolioMentor: Multimodal Generative AI Companion for Learning and Crafting Interactive Digital Art Portfolios
Abstract: Digital art portfolios serve as impactful mediums for artists to convey their
visions, weaving together visuals, audio, interactions, and narratives.
However, without technical backgrounds, ... | Human-Computer Interaction |
What field is the article from? | Title: CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation
Abstract: We present CoDi-2, a versatile and interactive Multimodal Large Language
Model (MLLM) that can follow complex multimodal interleaved instructions,
conduct in-context learning (ICL), reason, chat, edit, etc., in an any-to-any
input-o... | Computer Vision |
What field is the article from? | Title: Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
Abstract: In this study, we explore the application of Large Language Models (LLMs) in
"Jubensha" (Chinese murder mystery role-playing games), a novel area in
AI-driven gaming. We introduce the first Chinese... | Artificial Intelligence |
What field is the article from? | Title: ExFake: Towards an Explainable Fake News Detection Based on Content and Social Context Information
Abstract: ExFake is an explainable fake news detection system based on content and
context-level information. It is concerned with the veracity analysis of online
posts based on their content, social context (i.e.,... | Computational Linguistics |
What field is the article from? | Title: Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Abstract: ChatGPT and other Generative Artificial Intelligence (GAI) models tend to
inherit and even amplify prevailing societal biases as they are trained on
large amounts of existing data. Given the increasing usage of ChatGPT and other... | Computers and Society |
What field is the article from? | Title: ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis
Abstract: In this work, we propose a method to address the challenge of rendering a 3D
human from a single image in a free-view manner. Some existing approaches could
achieve this by using generalizable pixel-aligned... | Computer Vision |
What field is the article from? | Title: Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble based sample selection
Abstract: Machine Learning (ML) models become vulnerable to Model Stealing Attacks
(MSA) when they are deployed as a service. In such attacks, the deployed model
is queried repeatedly to build a labelled dataset. This datas... | Machine Learning |
What field is the article from? | Title: Fast Sampling generative model for Ultrasound image reconstruction
Abstract: Image reconstruction from radio-frequency data is pivotal in ultrafast plane
wave ultrasound imaging. Unlike the conventional delay-and-sum (DAS) technique,
which relies on somewhat imprecise assumptions, deep learning-based methods
per... | Computer Vision |
What field is the article from? | Title: Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility
Abstract: Near future air taxi operations with electric vertical take-off and landing
(eVTOL) aircraft will be constrained by the need for frequent recharging of
eVTOLs, limited takeoff and landing pads in ver... | Artificial Intelligence |
What field is the article from? | Title: Portuguese FAQ for Financial Services
Abstract: Scarcity of domain-specific data in the Portuguese financial domain has
disfavored the development of Natural Language Processing (NLP) applications.
To address this limitation, the present study advocates for the utilization of
synthetic data generated through dat... | Computational Linguistics |
What field is the article from? | Title: Emergent Communication for Rules Reasoning
Abstract: Research on emergent communication between deep-learning-based agents has
received extensive attention due to its inspiration for linguistics and
artificial intelligence. However, previous attempts have hovered around
emerging communication under perception-or... | Artificial Intelligence |
What field is the article from? | Title: Nepotistically Trained Generative-AI Models Collapse
Abstract: Trained on massive amounts of human-generated content, AI (artificial
intelligence) image synthesis is capable of reproducing semantically coherent
images that match the visual appearance of its training data. We show that when
retrained on even smal... | Artificial Intelligence |
What field is the article from? | Title: Successor Heads: Recurring, Interpretable Attention Heads In The Wild
Abstract: In this work we present successor heads: attention heads that increment
tokens with a natural ordering, such as numbers, months, and days. For example,
successor heads increment 'Monday' into 'Tuesday'. We explain the successor
head ... | Machine Learning |
What field is the article from? | Title: AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Video Deepfake Detection
Abstract: Multimodal manipulations (also known as audio-visual deepfakes) make it
difficult for unimodal deepfake detectors to detect forgeries in multimedia
content. To avoid the spread of false propaganda and fa... | Computer Vision |
What field is the article from? | Title: Three Dogmas, a Puzzle and its Solution
Abstract: Modern Logics, as formulated notably by Frege, Russell and Tarski involved
basic assumptions about Natural Languages in general and Indo-European
Languages in particular, which are contested by Linguists. Based upon those
assumptions, formal Languages were design... | Computational Linguistics |
What field is the article from? | Title: Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Abstract: Federated Learning (FL) is the state-of-the-art approach for learning from
decentralized data in privacy-constrained scenarios. As the current literature
reports, the main problems associated with FL refer to ... | Machine Learning |
What field is the article from? | Title: RGB-X Object Detection via Scene-Specific Fusion Modules
Abstract: Multimodal deep sensor fusion has the potential to enable autonomous vehicles
to visually understand their surrounding environments in all weather
conditions. However, existing deep sensor fusion methods usually employ
convoluted architectures wi... | Computer Vision |
What field is the article from? | Title: HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Abstract: By routing input tokens to only a few split experts, Sparse
Mixture-of-Experts has enabled efficient training of large language models.
Recent findings suggest that fixing the routers can achieve competitive
performance ... | Machine Learning |
What field is the article from? | Title: Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Abstract: Large language models (LLMs) encapsulate a vast amount of factual information
within their pre-trained weights, as evidenced by their ability to answer
diverse questions across different domains. However, this knowledge is
inherently limit... | Artificial Intelligence |
What field is the article from? | Title: TARGET: Template-Transferable Backdoor Attack Against Prompt-based NLP Models via GPT4
Abstract: Prompt-based learning has been widely applied in many low-resource NLP tasks
such as few-shot scenarios. However, this paradigm has been shown to be
vulnerable to backdoor attacks. Most of the existing attack methods... | Computational Linguistics |
What field is the article from? | Title: Large-Scale Multi-Robot Coverage Path Planning via Local Search
Abstract: We study graph-based Multi-Robot Coverage Path Planning (MCPP) that aims to
compute coverage paths for multiple robots to cover all vertices of a given 2D
grid terrain graph $G$. Existing graph-based MCPP algorithms first compute a
tree co... | Robotics |
What field is the article from? | Title: Goal-conditioned Offline Planning from Curious Exploration
Abstract: Curiosity has established itself as a powerful exploration strategy in deep
reinforcement learning. Notably, leveraging expected future novelty as
intrinsic motivation has been shown to efficiently generate exploratory
trajectories, as well as ... | Machine Learning |
What field is the article from? | Title: A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow
Abstract: In general, deep learning-based video frame interpolation (VFI) methods have
predominantly focused on estimating motion vectors between two input frames and
warping them to the target time. While this approach has shown im... | Computer Vision |
What field is the article from? | Title: Learning Fair Division from Bandit Feedback
Abstract: This work addresses learning online fair division under uncertainty, where a
central planner sequentially allocates items without precise knowledge of
agents' values or utilities. Departing from conventional online algorithm, the
planner here relies on noisy,... | Machine Learning |
What field is the article from? | Title: The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries
Abstract: $\textbf{Background and aims}$: Artificial Intelligence (AI) Computer-Aided
Detection (CADe) is commonly used for polyp detection, but data seen in
clinical settings can differ from model training. Few studies eval... | Machine Learning |
What field is the article from? | Title: Stable Diffusion For Aerial Object Detection
Abstract: Aerial object detection is a challenging task, in which one major obstacle
lies in the limitations of large-scale data collection and the long-tail
distribution of certain classes. Synthetic data offers a promising solution,
especially with recent advances i... | Computer Vision |
What field is the article from? | Title: Step by Step to Fairness: Attributing Societal Bias in Task-oriented Dialogue Systems
Abstract: Recent works have shown considerable improvements in task-oriented dialogue
(TOD) systems by utilizing pretrained large language models (LLMs) in an
end-to-end manner. However, the biased behavior of each component in... | Computational Linguistics |
What field is the article from? | Title: Continual Learning of Unsupervised Monocular Depth from Videos
Abstract: Spatial scene understanding, including monocular depth estimation, is an
important problem in various applications, such as robotics and autonomous
driving. While improvements in unsupervised monocular depth estimation have
potentially allo... | Computer Vision |
What field is the article from? | Title: Benchmarking Continual Learning from Cognitive Perspectives
Abstract: Continual learning addresses the problem of continuously acquiring and
transferring knowledge without catastrophic forgetting of old concepts. While
humans achieve continual learning via diverse neurocognitive mechanisms, there
is a mismatch b... | Machine Learning |
What field is the article from? | Title: Academic competitions
Abstract: Academic challenges comprise effective means for (i) advancing the state of
the art, (ii) putting in the spotlight of a scientific community specific
topics and problems, as well as (iii) closing the gap for under represented
communities in terms of accessing and participating in ... | Machine Learning |
What field is the article from? | Title: Beyond MLE: Convex Learning for Text Generation
Abstract: Maximum likelihood estimation (MLE) is a statistical method used to estimate
the parameters of a probability distribution that best explain the observed
data. In the context of text generation, MLE is often used to train generative
language models, which ... | Computational Linguistics |
What field is the article from? | Title: From Learning Management System to Affective Tutoring system: a preliminary study
Abstract: In this study, we investigate the combination of indicators, including
performance, behavioral engagement, and emotional engagement, to identify
students experiencing difficulties. We analyzed data from two primary source... | Computers and Society |
What field is the article from? | Title: tmn at #SMM4H 2023: Comparing Text Preprocessing Techniques for Detecting Tweets Self-reporting a COVID-19 Diagnosis
Abstract: The paper describes a system developed for Task 1 at SMM4H 2023. The goal of
the task is to automatically distinguish tweets that self-report a COVID-19
diagnosis (for example, a positiv... | Computational Linguistics |
What field is the article from? | Title: Green Edge AI: A Contemporary Survey
Abstract: Artificial intelligence (AI) technologies have emerged as pivotal enablers
across a multitude of industries, including consumer electronics, healthcare,
and manufacturing, largely due to their resurgence over the past decade. The
transformative power of AI is primar... | Artificial Intelligence |
What field is the article from? | Title: CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models
Abstract: Data sparsity and cold-start problems are persistent challenges in
recommendation systems. Cross-domain recommendation (CDR) is a promising
solution that utilizes knowledge from the source domain ... | Information Retrieval |
What field is the article from? | Title: A Virtual Reality Training System for Automotive Engines Assembly and Disassembly
Abstract: Automotive engine assembly and disassembly are common and crucial programs in
the automotive industry. Traditional education trains students to learn
automotive engine assembly and disassembly in lecture courses and then ... | Human-Computer Interaction |
What field is the article from? | Title: Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation Technique
Abstract: Identifying human emotions using AI-based computer vision systems, when
individuals wear face masks, presents a new challenge in the current Covid-19
pandemic. In this study, we propose a facial emotion recognition syste... | Computer Vision |
What field is the article from? | Title: Extending Machine Learning-Based Early Sepsis Detection to Different Demographics
Abstract: Sepsis requires urgent diagnosis, but research is predominantly focused on
Western datasets. In this study, we perform a comparative analysis of two
ensemble learning methods, LightGBM and XGBoost, using the public eICU-C... | Machine Learning |
What field is the article from? | Title: DeepArt: A Benchmark to Advance Fidelity Research in AI-Generated Content
Abstract: This paper explores the image synthesis capabilities of GPT-4, a leading
multi-modal large language model. We establish a benchmark for evaluating the
fidelity of texture features in images generated by GPT-4, comprising manually... | Computer Vision |
What field is the article from? | Title: FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
Abstract: Psychiatrists diagnose mental disorders via the linguistic use of patients.
Still, due to data privacy, existing passive mental health monitoring systems
use alternative features such... | Computational Linguistics |
What field is the article from? | Title: Honesty Is the Best Policy: Defining and Mitigating AI Deception
Abstract: Deceptive agents are a challenge for the safety, trustworthiness, and
cooperation of AI systems. We focus on the problem that agents might deceive in
order to achieve their goals (for instance, in our experiments with language
models, the... | Artificial Intelligence |
What field is the article from? | Title: Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation
Abstract: This paper studies the problem of weakly open-vocabulary semantic
segmentation (WOVSS), which learns to segment objects of arbitrary classes
using mere image-text pairs. Existing works turn to enhance the vanilla vision
... | Computer Vision |
What field is the article from? | Title: Towards Accurate Differential Diagnosis with Large Language Models
Abstract: An accurate differential diagnosis (DDx) is a cornerstone of medical care,
often reached through an iterative process of interpretation that combines
clinical history, physical examination, investigations and procedures.
Interactive int... | Computers and Society |
What field is the article from? | Title: Introducing SSBD+ Dataset with a Convolutional Pipeline for detecting Self-Stimulatory Behaviours in Children using raw videos
Abstract: Conventionally, evaluation for the diagnosis of Autism spectrum disorder is
done by a trained specialist through questionnaire-based formal assessments and
by observation of be... | Computer Vision |
What field is the article from? | Title: RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Abstract: Generalization remains one of the most important desiderata for robust robot
learning systems. While recently proposed approaches show promise in
generalization to novel objects, semantic concepts, or visual distribution
shift... | Robotics |
What field is the article from? | Title: The Transient Nature of Emergent In-Context Learning in Transformers
Abstract: Transformer neural networks can exhibit a surprising capacity for in-context
learning (ICL) despite not being explicitly trained for it. Prior work has
provided a deeper understanding of how ICL emerges in transformers, e.g.
through t... | Machine Learning |
What field is the article from? | Title: Educating for AI Cybersecurity Work and Research: Ethics, Systems Thinking, and Communication Requirements
Abstract: The present study explored managerial and instructor perceptions of their
freshly employed cybersecurity workers' or students' preparedness to work
effectively in a changing cybersecurity environm... | Computers and Society |
What field is the article from? | Title: DoGE: Domain Reweighting with Generalization Estimation
Abstract: The coverage and composition of the pretraining data corpus significantly
impacts the generalization ability of large language models. Conventionally,
the pretraining corpus is composed of various source domains (e.g. CommonCrawl,
Wikipedia, Githu... | Machine Learning |
What field is the article from? | Title: Probing LLMs for Joint Encoding of Linguistic Categories
Abstract: Large Language Models (LLMs) exhibit impressive performance on a range of NLP
tasks, due to the general-purpose linguistic knowledge acquired during
pretraining. Existing model interpretability research (Tenney et al., 2019)
suggests that a lingu... | Computational Linguistics |
What field is the article from? | Title: Formulating Discrete Probability Flow Through Optimal Transport
Abstract: Continuous diffusion models are commonly acknowledged to display a
deterministic probability flow, whereas discrete diffusion models do not. In
this paper, we aim to establish the fundamental theory for the probability flow
of discrete dif... | Machine Learning |
What field is the article from? | Title: Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator
Abstract: Large Language Models (LLMs) excel in understanding human instructions,
driving the development of Multimodal LLMs (MLLMs) with instruction tuning.
However, acquiring high-quality multimodal instruction tuning data poses ... | Computer Vision |
What field is the article from? | Title: Clinical Decision Support System for Unani Medicine Practitioners
Abstract: Like other fields of Traditional Medicines, Unani Medicines have been found
as an effective medical practice for ages. It is still widely used in the
subcontinent, particularly in Pakistan and India. However, Unani Medicines
Practitioner... | Artificial Intelligence |
What field is the article from? | Title: Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models
Abstract: Despite recent significant strides achieved by diffusion-based Text-to-Image
(T2I) models, current systems are still less capable of ensuring decent
compositional generation aligned with text prompts, particularly for the
mu... | Computer Vision |
What field is the article from? | Title: Image Clustering Conditioned on Text Criteria
Abstract: Classical clustering methods do not provide users with direct control of the
clustering results, and the clustering results may not be consistent with the
relevant criterion that a user has in mind. In this work, we present a new
methodology for performing ... | Computer Vision |
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