Alternatives and similar repositories for Process_Q_Model:

Users that are interested in Process_Q_Model are comparing it to the libraries listed below

• HKUNLP / critic-rl
  Code for Paper: Teaching Language Models to Critique via Reinforcement Learning
  ☆90Updated this week
• THUDM / T1
  Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
  ☆101Updated 2 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆140Updated last month
• jwhj / OREO
  ☆105Updated 2 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"
  ☆135Updated 2 months ago
• GAIR-NLP / ToRL
  ☆99Updated last week
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆56Updated 5 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆60Updated 3 months ago
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated 5 months ago
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆85Updated 2 weeks ago
• RAGEN-AI / VAGEN
  ☆73Updated this week
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆66Updated 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"
  ☆58Updated last month
• ScalerLab / JudgeBench
  ☆70Updated 5 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆91Updated last month
• GAIR-NLP / AIME-Preview
  ☆56Updated last month
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆61Updated 5 months ago
• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆174Updated last month
• rookie-joe / AutoPSV
  ☆44Updated 5 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆120Updated 7 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆57Updated 4 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆46Updated last month
• Yu-Fangxu / FoR
  Flow of Reasoning: Training LLMs for Divergent Problem Solving with Minimal Examples
  ☆84Updated 2 weeks ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆75Updated last week
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆74Updated 10 months ago
• KbsdJames / Omni-MATH
  The official repository of the Omni-MATH benchmark.
  ☆80Updated 3 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆101Updated 4 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆57Updated 5 months ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆47Updated 3 months ago