Alternatives and similar repositories for Transferability-of-LLM-Reasoning

Users that are interested in Transferability-of-LLM-Reasoning are comparing it to the libraries listed below

• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆198Updated 2 weeks ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆115Updated 6 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆179Updated 3 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆83Updated 7 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆130Updated 8 months ago
• test-time-interaction / TTI
  ☆63Updated 5 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆178Updated 4 months ago
• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆121Updated 7 months ago
• ruixin31 / Spurious_Rewards
  ☆336Updated 3 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆86Updated 5 months ago
• RM-R1-UIUC / RM-R1
  RM-R1: Unleashing the Reasoning Potential of Reward Models
  ☆146Updated 4 months ago
• GeniusHTX / TALE
  ☆134Updated 2 months ago
• LLM360 / Reasoning360
  A repo for open research on building large reasoning models
  ☆112Updated this week
• efficientscaling / Z1
  [EMNLP'2025 Industry] Repo for "Z1: Efficient Test-time Scaling with Code"
  ☆66Updated 7 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆51Updated 9 months ago
• NVlabs / Tool-N1
  ☆210Updated 5 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆67Updated 8 months ago
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆73Updated 11 months ago
• inclusionAI / PromptCoT
  A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…
  ☆126Updated 2 weeks ago
• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆94Updated 7 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…
  ☆57Updated 5 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆69Updated 4 months ago
• dvlab-research / ARPO
  Official Implementation of ARPO: End-to-End Policy Optimization for GUI Agents with Experience Replay
  ☆135Updated 5 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 9 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 9 months ago
• RUCAIBox / Passk_Training
  The official repository of paper "Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models''
  ☆96Updated 2 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆42Updated 8 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆62Updated 3 weeks ago
• OSU-NLP-Group / Mind2Web-2
  [NeurIPS'25 D&B] Mind2Web-2 Benchmark: Evaluating Agentic Search with Agent-as-a-Judge
  ☆89Updated last week
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆64Updated 9 months ago