Paper-Reading

这里记录我读的paper，或是整篇文章，或是文章中最有insight的部分。

25.10.10

• CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning
  • 用embedding 做contrastive learning，作为ReFT（PPO）的regular loss
  • disadvantage：实验的数据集较为简单

RL w/o verifier

RLPR: Extrapolating RLVR to General Domains without Verifiers 25.10.29