UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization

Make Full Use of Testing Information: An Integrated Accelerated Testing and Evaluation Method for Autonomous Driving Systems

Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development

Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic Architecture

Policy-Adaptable Methods For Resolving Normative Conflicts Through Argumentation and Graph Colouring

Episodic memory in AI agents poses risks that should be studied and mitigated

SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-based Reasoning Tasks

The impact of intrinsic rewards on exploration in Reinforcement Learning

Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components

The Explanation Game -- Rekindled (Extended Version)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

Reasoning Language Models: A Blueprint

Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition

Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity

ML-SceGen: A Multi-level Scenario Generation Framework

MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data

ColorGrid: A Multi-Agent Non-Stationary Environment for Goal Inference and Assistance

Revisiting Rogers' Paradox in the Context of Human-AI Interaction

Physics of Skill Learning

MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Learning segmentation from point trajectories

Video Depth Anything: Consistent Depth Estimation for Super-Long Videos

Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions

Test-time regression: a unifying framework for designing sequence models with associative memory

Treefix: Enabling Execution with a Tree of Prefixes

FuocChuVIP123 at CoMeDi Shared Task: Disagreement Ranking with XLM-Roberta Sentence Embeddings and Deep Neural Regression

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration

LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations

RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning

Regressor-Guided Image Editing Regulates Emotional Response to Reduce Online Engagement

Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring

With Great Backbones Comes Great Adversarial Transferability

Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification

InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models

Strong phonon-mediated high temperature superconductivity in Li$_2$AuH$_6$ under ambient pressure

An End-to-End Approach for Korean Wakeword Systems with Speaker Authentication

AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding

On the practical applicability of modern DFT functionals for chemical computations. Case study of DM21 applicability for geometry optimization

Efficient PINNs: Multi-Head Unimodular Regularization of the Solutions Space

Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities

FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration

Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation

EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition

Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye

Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation

Full Proportional Justified Representation

Survey on Hand Gesture Recognition from Visual Input

Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection

MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation

Webvs. LLMs: An Empirical Study of Learning Behaviors of CS2 Students

Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach

A Lightweight and Interpretable Deepfakes Detection Framework

LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models

LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts

Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning

Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs

Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation

Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance

A Survey on Memory-Efficient Large-Scale Model Training in AI for Science

Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision

Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights

Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMs

Fact-Preserved Personalized News Headline Generation

PXGen: A Post-hoc Explainable Method for Generative Models

Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach

Benchmarking Large Language Models via Random Variables

Is logical analysis performed by transformers taking place in self-attention or in the fully connected part?

Human-AI Collaborative Game Testing with Vision Language Models

Optimizing Pretraining Data Mixtures with LLM-Estimated Utility

SILO: Solving Inverse Problems with Latent Operators

Transformer Vibration Forecasting for Advancing Rail Safety and Maintenance 4.0

GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease

Human services organizations and the responsible integration of AI: Considering ethics and contextualizing risk(s)

Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data

StAyaL | Multilingual Style Transfer

Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications

Noise-Agnostic Multitask Whisper Training for Reducing False Alarm Errors in Call-for-Help Detection

Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records

Conversation Routines: A Prompt Engineering Framework for Task-Oriented Dialog Systems

Fairness Testing through Extreme Value Theory

Training-free Ultra Small Model for Universal Sparse Reconstruction in Compressed Sensing

Recurrent Diffusion for Large-Scale Parameter Generation

Explainable Lane Change Prediction for Near-Crash Scenarios Using Knowledge Graph Embeddings and Retrieval Augmented Generation

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features

Technical Report for the Forgotten-by-Design Project: Targeted Obfuscation for Machine Learning

Dialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan Darija

Generative AI and Large Language Models in Language Preservation: Opportunities and Challenges

Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification

Graph-defined Language Learning with LLMs

Improving thermal state preparation of Sachdev-Ye-Kitaev model with reinforcement learning on quantum hardware

A Survey on Diffusion Models for Anomaly Detection

Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography

Multi-View Spectral Clustering for Graphs with Multiple View Structures

Neural Contextual Reinforcement Framework for Logical Structure Language Generation

Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift

Unsupervised Learning in Echo State Networks for Input Reconstruction

A Truly Sparse and General Implementation of Gradient-Based Synaptic Plasticity

Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio

Federated Learning with Sample-level Client Drift Mitigation

On the Dimension of Pullback Attractors in Recurrent Neural Networks

Towards Advancing Code Generation with Large Language Models: A Research Roadmap

Few-shot Policy (de)composition in Conversational Question Answering

CatV2TON: Taming Diffusion Transformers for Vision-Based Virtual Try-On with Temporal Concatenation

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning

Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering

A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Spatiotemporal Air Quality Mapping in Urban Areas Using Sparse Sensor Data, Satellite Imagery, Meteorological Factors, and Spatial Features

Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian

WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast

Leveraging GANs For Active Appearance Models Optimized Model Fitting

Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity

ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models

Counteracting temporal attacks in Video Copy Detection

AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis

AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations

CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning

Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks

A Collection of Question Answering Datasets for Norwegian

Tell me about yourself: LLMs are aware of their learned behaviors

Clinical trial cohort selection using Large Language Models on n2c2 Challenges

ChaosEater: Fully Automating Chaos Engineering with Large Language Models

Leveraging counterfactual concepts for debugging and improving CNN model performance

Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model

Federated Deep Reinforcement Learning for Energy Efficient Multi-Functional RIS-Assisted Low-Earth Orbit Networks

IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems

Enhancing Neural Spoken Language Recognition: An Exploration with Multilingual Datasets

Can LLM Generate Regression Tests for Software Commits?

BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-Resolution

AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language Model

GREEN-CODE: Optimizing Energy Efficiency in Large Language Models for Code Generation

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs

Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization

MARIO: A Mixed Annotation Framework For Polyp Segmentation

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models

Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

Adaptive Target Localization under Uncertainty using Multi-Agent Deep Reinforcement Learning with Knowledge Transfer

Generative Physical AI in Vision: A Survey

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition

A Generative Security Application Engineering Curriculum

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

OpenEarthMap-SAR: A Benchmark Synthetic Aperture Radar Dataset for Global High-Resolution Land Cover Mapping

Generating Structured Outputs from Language Models: Benchmark and Studies

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation

Fake Advertisements Detection Using Automated Multimodal Learning: A Case Study for Vietnamese Real Estate Data

Reliable Text-to-SQL with Adaptive Abstention

Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking

Practical and Ready-to-Use Methodology to Assess the re-identification Risk in Anonymized Datasets

BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues

Visual RAG: Expanding MLLM visual knowledge without fine-tuning

Addressing Multilabel Imbalance with an Efficiency-Focused Approach Using Diffusion Model-Generated Synthetic Samples

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling

Graph Coloring to Reduce Computation Time in Prioritized Planning

Efficient Auto-Labeling of Large-Scale Poultry Datasets (ALPD) Using Semi-Supervised Models, Active Learning, and Prompt-then-Detect Approach

Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback

Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning

MedFILIP: Medical Fine-grained Language-Image Pre-training

Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification

Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention

GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

How Should I Build A Benchmark?

Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024

Algorithmic Derivation of Human Spatial Navigation Indices From Eye Movement Data

Simulation of Hypergraph Algorithms with Looped Transformers

Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring

Unveiling the Mystery of Weight in Large Foundation Models: Gaussian Distribution Never Fades

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator

AI/ML Based Detection and Categorization of Covert Communication in IPv6 Network

AI Technicians: Developing Rapid Occupational Training Methods for a Competitive AI Workforce

When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation

AI Toolkit: Libraries and Essays for Exploring the Technology and Ethics of AI

FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring

Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google

Improved IR-based Bug Localization with Intelligent Relevance Feedback

4bit-Quantization in Vector-Embedding for RAG

Solving Sparse Finite Element Problems on Neuromorphic Hardware

Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit

Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning

Bias in Decision-Making for AI's Ethical Dilemmas: A Comparative Study of ChatGPT and Claude

ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature

Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity

Improving the Efficiency of Self-Supervised Adversarial Training through Latent Clustering-Based Selection

The Mathematics of Artificial Intelligence

Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games

GLow -- A Novel, Flower-Based Simulated Gossip Learning Strategy

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation

A Framework for Mining Collectively-Behaving Bots in MMORPGs

Uncovering Bias in Foundation Models: Impact, Testing, Harm, and Mitigation

Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching

CodEv: An Automated Grading Framework Leveraging Large Language Models for Consistent and Constructive Feedback

Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning

AI-Powered Urban Transportation Digital Twin: Methods and Applications

Developing an Ontology for AI Act Fundamental Rights Impact Assessments

Towards General Purpose Robots at Scale: Lifelong Learning and Learning to Use Memory

Towards an Environmental Ethics of Artificial Intelligence

Beyond the Sum: Unlocking AI Agents Potential Through Market Forces

Autonomous Microscopy Experiments through Large Language Model Agents

The Three Social Dimensions of Chatbot Technology

DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State

What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144

Harnessing Large Language Models for Mental Health: Opportunities, Challenges, and Ethical Considerations

Creative Loss: Ambiguity, Uncertainty and Indeterminacy

The Potential of Answer Classes in Large-scale Written Computer-Science Exams -- Vol. 2

Participatory Assessment of Large Language Model Applications in an Academic Medical Center

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Can LLMs Identify Gaps and Misconceptions in Students' Code Explanations?

Integrating Artificial Open Generative Artificial Intelligence into Software Supply Chain Security

Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance