Alternatives and similar repositories for To-CoT-or-not-to-CoT

Users that are interested in To-CoT-or-not-to-CoT are comparing it to the libraries listed below

• rookie-joe / AutoPSV
  ☆50Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆87Updated last month
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆131Updated 7 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆65Updated 3 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• ChenmienTan / malmen
  ☆35Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆66Updated 11 months ago
• uservan / ThinkPO
  ☆17Updated 3 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• mathllm / Step-Controlled_DPO
  ☆23Updated last year
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆33Updated last year
• ozyyshr / RAST
  Reasoning Activation in LLMs via Small Model Transfer (NeurIPS 2025)
  ☆19Updated 3 weeks ago
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆71Updated 6 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆51Updated 9 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• jinzhuoran / RAG-RewardBench
  RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
  ☆16Updated 10 months ago
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆51Updated last month
• 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…
  ☆46Updated 6 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated last month
• 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
• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆121Updated 7 months ago
• WangHanLinHenry / SPA-RL-Agent
  Official code for paper "SPA-RL: Reinforcing LLM Agent via Stepwise Progress Attribution"
  ☆48Updated 2 months ago
• rhyang2021 / ARIA
  Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".
  ☆24Updated 3 months ago
• ChnQ / TracingLLM
  ☆30Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆63Updated last year
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆35Updated last year
• lichengliu03 / unary-feedback
  ☆38Updated 3 months ago
• GraphPKU / Case_or_Rule
  exploring whether LLMs perform case-based or rule-based reasoning
  ☆30Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆159Updated 8 months ago