Huaxiu Yao

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Mimicking the Physicist's Eye: A VLM-centric Approach for Physics Formula Discovery

WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent

Provable and Practical In-Context Policy Optimization for Self-Improvement

Scaling Agent Learning via Experience Synthesis

TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization

Unsupervised Prompt Learning with Few-shot Examples for Answering Objective Questions

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

CLEAR: A Cost-Aware Routing System for Edge-Cloud Language Model Collaborative Inference

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards

MDocAgent: A Multi-Modal Multi-Agent Framework for Document Question Answering

UQ: Assessing Language Models on Unsolved Questions

When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought

LLM-mediated pathology models for robust cross-institution generalization

The Agent's Marathon: Probing the Limits of Endurance in Long-Horizon Tasks

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models

MJ-Video: Benchmarking and Rewarding Video Generation with Fine-Grained Video Preference

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding

WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving

CREAM: Consistency Regularized Self-Rewarding Language Models

Anyprefer: An Agentic Framework for Preference Data Synthesis

Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment

SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization

ECG Instruction Tuning on Multimodal LLMs for Report Generation: Benchmark and Evaluation

Just Select Twice: Leveraging Low Quality Data to Improve Data Selection

Neat: Nonlinear Parameter-efficient Adaptation of Pre-trained Models

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

FactTest: Factuality Testing in Large Language Models with Statistical Guarantees

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF

Fading Focus: Mitigating Visual Attention Degradation in Large Vision-Language Models

Can Editing LLMs Inject Harm?

Synergistic Weak-Strong Collaboration by Aligning Preferences

How Well Can LLMs Synthesize Molecules? An LLM-Powered Framework for Multi-Step Retrosynthesis

Unveiling Context-Aware Criteria in Self-Assessing LLMs

On Unsupervised Prompt Learning for Classification with Black-box Language Models

Hindsight Planner: A Closed-loop few-shot planner for Embodied Instruction Following