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• ToolRL: Reward is All Tool Learning Needs
  2025 · 236 citations
• Translation between Molecules and Natural Language
  2022 · 120 citations
• MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
  2025 · 102 citations
• TrustLLM: Trustworthiness in Large Language Models
  2024 · 53 citations
• Parameter-efficient Tuning Helps Language Model Alignment
  2023 · 8 citations
• ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
  2025 · 2 citations
• ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning
  2025 · 2 citations
• The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
  2025 · 1 citations
• RM-R1: Reward Modeling as Reasoning
  2025 · 1 citations
• EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents
  2025 · 1 citations
• AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints
  2026
• AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents
  2026
• Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
  2026
• Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning
  2026
• ACCORD: Action-Conditioned Contextual Grounding for Language Agents
  2026