Large Language Models

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

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models

Stories of Your Life as Others: A Round-Trip Evaluation of LLM-Generated Life Stories Conditioned on Rich Psychometric Profiles

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

LAG-XAI: A Lie-Inspired Affine Geometric Framework for Interpretable Paraphrasing in Transformer Latent Spaces

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks

Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization

Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement

MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

In-Place Test-Time Training

Advancing AI Research Assistants with Expert-Involved Learning

Beyond Syntax: Action Semantics Learning for App Agents