Huaxiu Yao
- Papers
- 41
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Authored papers
41AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
arXiv 2026
MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
arXiv 2026
SimpleMem: Efficient Lifelong Memory for LLM Agents
arXiv 2026
SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
arXiv 2026
Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
arXiv 2026
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
arXiv 2026
When and How Much to Imagine: Adaptive Test-Time Scaling with World Models for Visual Spatial Reasoning
arXiv 2026
GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL
arXiv 2026
VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
arXiv 2026
Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw
arXiv 2026
ClawArena: Benchmarking AI Agents in Evolving Information Environments
arXiv 2026
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
arXiv 2025
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language Reasoning
arXiv 2025
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
arXiv 2025
Adapting Web Agents with Synthetic Supervision
arXiv 2025
UQ: Assessing Language Models on Unsolved Questions
arXiv 2025
Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails
arXiv 2025
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
arXiv 2025
Autoregressive Models in Vision: A Survey
arXiv 2024
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
GRAPE: Generalizing Robot Policy via Preference Alignment
arXiv 2024
CREAM: Consistency Regularized Self-Rewarding Language Models
arXiv 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
arXiv 2024
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
arXiv 2024
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
arXiv 2024
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
arXiv 2024
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
arXiv 2024
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
arXiv 2024
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
arXiv 2024
Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
arXiv 2024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
arXiv 2024
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
arXiv 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
arXiv 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
arXiv 2024
Can Editing LLMs Inject Harm?
arXiv 2024
MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
arXiv 2024
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF
arXiv 2024
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
arXiv 2023
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
arXiv 2023
Meta-Learning with Fewer Tasks through Task Interpolation
meta-learning-with-fewer-tasks-through-task-1
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