microsoft/rStar

ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning

Fast, Sharp & Reliable Agentic Intelligence

An Open Large Reasoning Model for Real-World Solutions

Agent RL framework for LLM agents: multi-turn reinforcement learning with StarPO and reasoning-collapse diagnostics

Fully open reproduction of DeepSeek-R1

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B