Papers2

#self-verification

InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning

Matthew Y. R. Yang, Hao Bai et al.Jan 20arXiv

The paper introduces Intervention Training (InT), a simple way for a language model to find and fix the first wrong step in its own reasoning using a short, targeted correction.

#Intervention Training#credit assignment#LLM reasoning

One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling

Beginner

Yiyuan Li, Zhen Huang et al.Jan 6arXiv

This paper shows that training a language model with reinforcement learning on just one super well-designed example can boost reasoning across many school subjects, not just math.

#polymath learning#one-shot reinforcement learning#GRPO