Alternatives and similar repositories for TreeRL

Users that are interested in TreeRL are comparing it to the libraries listed below

• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆124Updated 8 months ago
• lichengliu03 / unary-feedback
  ☆38Updated 4 months ago
• THU-KEG / AdaptThink
  ☆173Updated 2 weeks ago
• multimodal-art-projection / REER_DeepWriter
  REverse-Engineered Reasoning for Open-Ended Generation
  ☆84Updated 3 months ago
• MingyuJ666 / Disentangling-Memory-and-Reasoning
  [ACL'25] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.
  ☆80Updated last month
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆84Updated 8 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆106Updated last week
• RUCAIBox / Passk_Training
  The official repository of paper "Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models''
  ☆110Updated 4 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆182Updated 4 months ago
• GeniusHTX / TALE
  ☆140Updated 3 months ago
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆72Updated 7 months ago
• RyanLiu112 / GenPRM
  [AAAI 2026] Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".
  ☆92Updated last month
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 10 months ago
• LightChen233 / reasoning-boundary
  ☆69Updated 6 months ago
• RM-R1-UIUC / RM-R1
  RM-R1: Unleashing the Reasoning Potential of Reward Models
  ☆154Updated 5 months ago
• Raibows / CREAM
  Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.
  ☆27Updated 10 months ago
• WooooDyy / MathCritique
  Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".
  ☆56Updated last year
• cmu-l3 / l1
  L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
  ☆258Updated 7 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆133Updated 8 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆135Updated 9 months ago
• test-time-interaction / TTI
  ☆66Updated 6 months ago
• multimodal-art-projection / TreePO
  ☆52Updated 2 months ago
• inclusionAI / PromptCoT
  A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…
  ☆131Updated last month
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆138Updated last month
• hkust-nlp / WebExplorer
  The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"
  ☆89Updated 2 months ago
• bobxwu / learning-from-rewards-llm-papers
  A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…
  ☆60Updated 6 months ago
• yyDing1 / ScaleQuest
  [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…
  ☆68Updated last year
• WangHanLinHenry / SPA-RL-Agent
  Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"
  ☆57Updated 3 months ago
• GAIR-NLP / LIMR
  ☆213Updated 9 months ago