【第210期】RLSP：Reinforcement Learning via Self-Play

Seventy3 · Apr 28, 2025 · 18m

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On the Emergence of Thinking in LLMs I: Searching for the Right Intuition

Summary

The provided research explores how large language models (LLMs) can be transformed into more capable reasoning agents, termed large reasoning models (LRMs), by enabling a "thinking" process during inference. It introduces Reinforcement Learning via Self-Play (RLSP), a post-training framework that encourages guided search in LLMs through supervised fine-tuning on reasoning demonstrations, an exploration reward…