Papers

• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• Language Self-Play For Data-Free Training (2025)
  Jakub Grudzien Kuba et al.
  1.28
• Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models (2024)
  Zixiang Chen et al.
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• NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment (2024)
  Gerald Shen et al.
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• SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models (2024)
  Jiale Cheng et al.
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