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• Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking
  2025 · 5 citations
• Instructions are all you need: Self-supervised Reinforcement Learning for Instruction Following
  2025 · 4 citations
• MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
  2024 · 1 citations
• From Outcomes to Actions: Leveraging Hindsight for Long-Horizon Language Agent Training
  2026
• LSRIF: Logic-Structured Reinforcement Learning for Instruction Following
  2026
• SEIF: Self-Evolving Reinforcement Learning for Instruction Following
  2026
• Outcome-Grounded Advantage Reshaping for Fine-Grained Credit Assignment in Mathematical Reasoning
  2026
• Do Large Language Models Truly Understand Cross-cultural Differences?
  2025
• HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness
  2025
• Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation
  2025
• A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
  2025
• Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
  2019
• Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
  2024