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• Agent-pro: Learning To Evolve Via Policy-level Reflection And Optimization
  2024 · 22 citations
• Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach
  2021 · 6 citations
• A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation
  2022 · 2 citations
• When and why loyal customers react negatively to AI services: A respect theory perspective
  2026 · 1 citations
• Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
  2025
• GroundAct: Can LLM Agents Ground Actions in Environmental States?
  2025
• Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning
  2025
• Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction
  2025
• AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification
  2025
• DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL
  2025
• 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
  2025
• ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark
  2025
• Advancing Process Verification for Large Language Models via Tree-Based Preference Learning
  2024