ZeroGUI: Automating Online GUI Learning at Zero Human Cost

Comparative of Genetic Fuzzy regression techniques for aeroacoustic phenomenons

Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability

Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models

MAPLE: A Mobile Assistant with Persistent Finite State Machines for Recovery Reasoning

CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents

Synchronizing Process Model and Event Abstraction for Grounded Process Intelligence (Extended Version)

Individual differences in the cognitive mechanisms of planning strategy discovery

TRAP: Targeted Redirecting of Agentic Preferences

Autoformalization in the Era of Large Language Models: A Survey

Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns

EVOREFUSE: Evolutionary Prompt Optimization for Evaluation and Mitigation of LLM Over-Refusal to Pseudo-Malicious Instructions

Emergent Risk Awareness in Rational Agents under Resource Constraints

A Mathematical Framework for AI-Human Integration in Work

GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy

AutoGPS: Automated Geometry Problem Solving via Multimodal Formalization and Deductive Reasoning

MathArena: Evaluating LLMs on Uncontaminated Math Competitions

Conceptual Framework Toward Embodied Collective Adaptive Intelligence

Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models

Second Opinion Matters: Towards Adaptive Clinical AI via the Consensus of Expert Model Ensemble

Be.FM: Open Foundation Models for Human Behavior

Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design

Strategic Reflectivism In Intelligent Systems

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents

Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages

Enhancing Study-Level Inference from Clinical Trial Papers via RL-based Numeric Reasoning

The WHY in Business Processes: Unification of Causal Process Models

Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds

Decomposing Elements of Problem Solving: What "Math" Does RL Teach?

Enhancing Lifelong Multi-Agent Path-finding by Using Artificial Potential Fields

Design and testing of an agent chatbot supporting decision making with public transport data

From Chat Logs to Collective Insights: Aggregative Question Answering

Differential Information: An Information-Theoretic Perspective on Preference Optimization

Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning

Puzzled by Puzzles: When Vision-Language Models Can't Take a Hint

REOrdering Patches Improves Vision Models

To Trust Or Not To Trust Your Vision-Language Model's Prediction

Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need

ATLAS: Learning to Optimally Memorize the Context at Test Time

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side

MAGREF: Masked Guidance for Any-Reference Video Generation

Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering

COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents

SenWiCh: Sense-Annotation of Low-Resource Languages for WiC using Hybrid Methods

From Connectivity to Autonomy: The Dawn of Self-Evolving Communication Systems

Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning

Distributed Federated Learning for Vehicular Network Security: Anomaly Detection Benefits and Multi-Domain Attack Threats

CLDTracker: A Comprehensive Language Description for Visual Tracking

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos

GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents

Keyed Chaotic Tensor Transformations for Secure And Attributable Neural Inference

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation

Securing AI Agents with Information-Flow Control

Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging

Human Empathy as Encoder: AI-Assisted Depression Assessment in Special Education

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Towards Explainable Sequential Learning

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory

Satori-SWE: Evolutionary Test-Time Scaling for Sample-Efficient Software Engineering

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles

Collaborative Last-Mile Delivery: A Multi-Platform Vehicle Routing Problem With En-route Charging

Engineering Serendipity through Recommendations of Items with Atypical Aspects

Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms

Segment Policy Optimization: Effective Segment-Level Credit Assignment in RL for Large Language Models

Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters

CLaC at SemEval-2025 Task 6: A Multi-Architecture Approach for Corporate Environmental Promise Verification

Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning

A Robot-Assisted Approach to Small Talk Training for Adults with ASD

Can Large Language Models Challenge CNNS in Medical Image Analysis?

LCB-CV-UNet: Enhanced Detector for High Dynamic Range Radar Signals

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis

Bounded-Abstention Pairwise Learning to Rank

From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents

Bidirectional predictive coding

Buffer-free Class-Incremental Learning with Out-of-Distribution Detection

Enhanced DACER Algorithm with High Diffusion Efficiency

SWE-bench Goes Live!

Toward Effective AI Governance: A Review of Principles

Video Editing for Audio-Visual Dubbing

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization

VModA: An Effective Framework for Adaptive NSFW Image Moderation

Dynamic Spectral Backpropagation for Efficient Neural Network Training

PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening

Representing local protein environments with atomistic foundation models

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective

Matryoshka Model Learning for Improved Elastic Student Models

Fine-Tuning Next-Scale Visual Autoregressive Models with Group Relative Policy Optimization

Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition

Score-based Generative Modeling for Conditional Independence Testing

Spoken question answering for visual queries

How Does Response Length Affect Long-Form Factuality

Federated Unsupervised Semantic Segmentation

Sentinel: Attention Probing of Proxy Models for LLM Context Compression with an Understanding Perspective

The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models Text

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs

Unsupervised Transcript-assisted Video Summarization and Highlight Detection

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion

VLM-RRT: Vision Language Model Guided RRT Search for Autonomous UAV Navigation

Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking

OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source Software

Accelerating RLHF Training with Reward Variance Increase

MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration

SAMamba: Adaptive State Space Modeling with Hierarchical Vision for Infrared Small Target Detection

Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning

Fooling the Watchers: Breaking AIGC Detectors via Semantic Prompt Attacks

ExpeTrans: LLMs Are Experiential Transfer Learners

Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration

Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

Best Arm Identification with Possibly Biased Offline Data

Implicit Inversion turns CLIP into a Decoder

FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing

VERINA: Benchmarking Verifiable Code Generation

Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing

Patient Domain Supervised Contrastive Learning for Lung Sound Classification Using Mobile Phone

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations

Elicit and Enhance: Advancing Multimodal Reasoning in Medical Scenarios

Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking

CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables

EAD: An EEG Adapter for Automated Classification

Equivariant Spherical Transformer for Efficient Molecular Modeling

Efficient Quantum Approximate $k$NN Algorithm via Granular-Ball Computing

GeoMan: Temporally Consistent Human Geometry Estimation using Image-to-Video Diffusion

Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval

Multi-Sourced Compositional Generalization in Visual Question Answering

Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data

Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks

Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift

Context Robust Knowledge Editing for Language Models

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting

Synthetic Document Question Answering in Hungarian

A Practical Approach for Building Production-Grade Conversational Agents with Workflow Graphs

Hybrid Cross-domain Robust Reinforcement Learning

Verify-in-the-Graph: Entity Disambiguation Enhancement for Complex Claim Verification with Interactive Graph Representation

Model-Preserving Adaptive Rounding

Knowledge Distillation for Reservoir-based Classifier: Human Activity Recognition

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency

EquiReg: Equivariance Regularized Diffusion for Inverse Problems

Exploring Scaling Laws for EHR Foundation Models

NegVQA: Can Vision Language Models Understand Negation?

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature

ATI: Any Trajectory Instruction for Controllable Video Generation

Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates

WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning

Generative Social Choice: The Next Generation

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking

Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents

HiLDe: Intentional Code Generation via Human-in-the-Loop Decoding

Defining Foundation Models for Computational Science: A Call for Clarity and Rigor

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints

Semantic Exploration and Dense Mapping of Complex Environments using Ground Robots Equipped with LiDAR and Panoramic Camera

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection

Scaling Offline RL via Efficient and Expressive Shortcut Models

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models

Permissioned LLMs: Enforcing Access Control in Large Language Models

NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding

Operationalizing CaMeL: Strengthening LLM Defenses for Enterprise Deployment

RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation

Security Benefits and Side Effects of Labeling AI-Generated Images

Aurora: Are Android Malware Classifiers Reliable under Distribution Shift?

How Do Diffusion Models Improve Adversarial Robustness?

Orca: Browsing at Scale Through User-Driven and AI-Facilitated Orchestration Across Malleable Webpages

What Has Been Lost with Synthetic Evaluation?

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow

A Tool for Generating Exceptional Behavior Tests With Large Language Models

IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction

A Large Language Model-Enabled Control Architecture for Dynamic Resource Capability Exploration in Multi-Agent Manufacturing Systems

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay

CLUE: Neural Networks Calibration via Learning Uncertainty-Error alignment

Efficient Preimage Approximation for Neural Network Certification

Automated Essay Scoring Incorporating Annotations from Automated Feedback Systems

In Dialogue with Intelligence: Rethinking Large Language Models as Collective Knowledge

MIAS-SAM: Medical Image Anomaly Segmentation without thresholding

A comprehensive analysis of PINNs: Variants, Applications, and Challenges

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian

Pre-Training Curriculum for Multi-Token Prediction in Language Models

Self-orthogonalizing attractor neural networks emerging from the free energy principle

Training Language Models to Generate Quality Code with Program Analysis Feedback

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion

PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models