Large Language Models

Edit, But Verify: An Empirical Audit of Instructed Code-Editing Benchmarks

Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner

Watch Before You Answer: Learning from Visually Grounded Post-Training

Offline RL for Adaptive Policy Retrieval in Prior Authorization

Reasoning Through Chess: How Reasoning Evolves from Data Through Fine-Tuning and Reinforcement Learning

EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation

Planning to Explore: Curiosity-Driven Planning for LLM Test Generation

Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning

From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models

Improving Clinical Trial Recruitment using Clinical Narratives and Large Language Models

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts

Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation

Region-R1: Reinforcing Query-Side Region Cropping for Multi-Modal Re-Ranking

Broken by Default: A Formal Verification Study of Security Vulnerabilities in AI-Generated Code

LLMs Should Express Uncertainty Explicitly

DQA: Diagnostic Question Answering for IT Support

OGA-AID: Clinician-in-the-loop AI Report Drafting Assistant for Multimodal Observational Gait Analysis in Post-Stroke Rehabilitation

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

Your LLM Agent Can Leak Your Data: Data Exfiltration via Backdoored Tool Use

Learning What Matters: Dynamic Dimension Selection and Aggregation for Interpretable Vision-Language Reward Modeling

LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency

On the Role of Fault Localization Context for LLM-Based Program Repair

Unifying VLM-Guided Flow Matching and Spectral Anomaly Detection for Interpretable Veterinary Diagnosis

Turbulence-like 5/3 spectral scaling in contextual representations of language as a complex system

FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation--Full Version

Context-Agent: Dynamic Discourse Trees for Non-Linear Dialogue

AI-Driven Modular Services for Accessible Multilingual Education in Immersive Extended Reality Settings: Integrating Speech Processing, Translation, and Sign Language Rendering

Analogical Reasoning as a Doctor: A Foundation Model for Gastrointestinal Endoscopy Diagnosis

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals

Rectified Schr\"odinger Bridge Matching for Few-Step Visual Navigation

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems

Attention Editing: A Versatile Framework for Cross-Architecture Attention Conversion

Hackers or Hallucinators? A Comprehensive Analysis of LLM-Based Automated Penetration Testing

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"

EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding

Neural Network Pruning via QUBO Optimization

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation

"I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns?

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution

The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models