Alternatives and similar repositories for CoT-Reasoning-without-Prompting

Users that are interested in CoT-Reasoning-without-Prompting are comparing it to the libraries listed below

• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆130Updated 7 months ago
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆73Updated 11 months ago
• RM-R1-UIUC / RM-R1
  RM-R1: Unleashing the Reasoning Potential of Reward Models
  ☆145Updated 4 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 5 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆111Updated 9 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆50Updated 8 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆178Updated 3 months ago
• WHGTyen / BIG-Bench-Mistake
  A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
  ☆82Updated last year
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆125Updated 11 months ago
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆30Updated 2 months ago
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆75Updated 4 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆85Updated 5 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆82Updated 7 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated 11 months ago
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆122Updated last year
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆114Updated 5 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆63Updated 3 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆107Updated 3 months ago
• mathllm / Step-Controlled_DPO
  ☆22Updated last year
• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆31Updated last year
• da03 / Internalize_CoT_Step_by_Step
  ☆195Updated 6 months ago
• open-compass / CriticEval
  [NeurIPS 2024] A comprehensive benchmark for evaluating critique ability of LLMs
  ☆47Updated 10 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆59Updated last year
• MingyuJ666 / The-Impact-of-Reasoning-Step-Length-on-Large-Language-Models
  [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…
  ☆45Updated 5 months ago
• rookie-joe / AutoPSV
  ☆50Updated 11 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆142Updated last year