Alternatives and similar repositories for Emergence-of-Thinking

Users that are interested in Emergence-of-Thinking are comparing it to the libraries listed below

• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆68Updated 9 months ago
• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆94Updated 7 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 10 months ago
• Gen-Verse / CURE
  [NeurIPS 2025 Spotlight] Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
  ☆135Updated 2 months ago
• efficientscaling / Z1
  [EMNLP'25 Industry] Repo for "Z1: Efficient Test-time Scaling with Code"
  ☆67Updated 7 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆52Updated last year
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆65Updated 10 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆179Updated 4 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆83Updated 8 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆64Updated 11 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆51Updated 9 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆104Updated last month
• 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
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆105Updated last year
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆122Updated 8 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…
  ☆58Updated 5 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆143Updated last year
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆100Updated 4 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆89Updated 2 weeks ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆180Updated 4 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆112Updated 4 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆69Updated 8 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• swtheing / PF-PPO-RLHF
  ☆34Updated last year
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆49Updated last year
• GAIR-NLP / AIME-Preview
  ☆77Updated 8 months ago
• AlphaPav / mem-kk-logic
  On Memorization of Large Language Models in Logical Reasoning
  ☆72Updated 8 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
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆86Updated 6 months ago