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Ling Yang

Explore Ling Yang on AI.info.

• JEPA-Anything: Learning Predictive Models across Different Worlds
• ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
• ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents
• Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses
• Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
• PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents
• RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
• GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
• AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
• Latent Collaboration in Multi-Agent Systems
• Generative Universal Verifier as Multimodal Meta-Reasoner