Annealed-RLVR

LLM reasoning emerges via Inverse Tree Freezing, improving multi-step thinking

Researchers have developed a new framework called Inverse Tree Freezing to understand how large language models (LLMs) achieve complex reasoning. This model views the LLM's learning process as a random walk on a 'Concep…