Alternatives and similar repositories for unofficial-cot-decoding

Users that are interested in unofficial-cot-decoding are comparing it to the libraries listed below

• THU-KEG / Agentic-Reward-Modeling
  Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆91Updated 3 months ago
• kevinwu23 / StanfordClashEval
  ☆36Updated 4 months ago
• tianyi-lab / MoE-Embedding
  Code for "Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free"
  ☆73Updated 7 months ago
• THUDM / T1
  Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
  ☆104Updated 4 months ago
• THU-KEG / AdaptThink
  ☆100Updated last week
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆98Updated last month
• GeniusHTX / TALE
  ☆107Updated 2 weeks 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.
  ☆54Updated 2 weeks ago
• MingLiiii / Layer_Gradient
  What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆64Updated 3 months ago
• clinicalml / co-llm
  Co-LLM: Learning to Decode Collaboratively with Multiple Language Models
  ☆114Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆89Updated last week
• yale-nlp / MCTS-RAG
  ☆47Updated 3 months ago
• luban-agi / Awesome-LLM-reasoning
  A curated paper list on LLM reasoning.
  ☆88Updated last year
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆70Updated 2 months ago
• efficientscaling / Z1
  Repo for "Z1: Efficient Test-time Scaling with Code"
  ☆59Updated last month
• LiqiangJing / DSBench
  DSBench: How Far are Data Science Agents from Becoming Data Science Experts?
  ☆54Updated 3 months ago
• SqueezeAILab / LLM2LLM
  [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
  ☆183Updated last year
• menhguin / minp_paper
  Code Implementation, Evaluations, Documentation, Links and Resources for Min P paper
  ☆35Updated 2 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆32Updated last year
• tigerchen52 / awesome_role_of_small_models
  a curated list of the role of small models in the LLM era
  ☆100Updated 8 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆105Updated 2 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆59Updated 4 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"
  ☆155Updated this week
• hyintell / RetrievalQA
  Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [F…
  ☆64Updated last year
• QwenLM / WorldPM
  ☆83Updated 3 weeks ago
• voidism / Lookback-Lens
  Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
  ☆126Updated 9 months ago
• swt-user / DMPO
  ☆41Updated 7 months ago
• QwenLM / Self-Lengthen
  ☆86Updated 7 months ago
• David-Li0406 / Preference-Leakage
  ☆45Updated 2 weeks ago
• HqWu-HITCS / Awesome-Personalized-LLM
  This repo aims to record resource of role-playing abilities in LLMs, including dataset, paper, application, etc.
  ☆124Updated 8 months ago