← authors · overview

• ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation
  2026
• PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction
  2026
• DocOps: A Verifiable Benchmark for Autonomous Agents in Complex Document Operations
  2026
• Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
  2026
• Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills
  2026
• Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery
  2026
• P^2O: Joint Policy and Prompt Optimization
  2026
• P^2O: Joint Policy and Prompt Optimization
  2026
• MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
  2025
• RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
  2025
• Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
  2025
• DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
  2025
• RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
  2025
• A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
  2024
• Aligning Large Language Models via Self-Steering Optimization
  2024