Alternatives and similar repositories for Process_Q_Model

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

• jwhj / OREO
  ☆116Updated 11 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 5 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆112Updated 4 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆134Updated 9 months ago
• sanjibanc / agent_prm
  ☆50Updated 10 months ago
• SiliangZeng / Multi-Turn-RL-Agent
  ☆99Updated 6 months ago
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated last year
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 11 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆168Updated 9 months ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated last year
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆86Updated 9 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆86Updated 7 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆51Updated 10 months ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆63Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆125Updated last year
• CMU-AIRe / MRT
  Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".
  ☆114Updated 4 months ago
• WooooDyy / LLM-Reverse-Curriculum-RL
  Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…
  ☆114Updated last year
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆182Updated 5 months ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆159Updated last year
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 10 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆70Updated 9 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆67Updated 3 weeks ago
• rookie-joe / AutoPSV
  ☆51Updated last year
• NineAbyss / S2R
  This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"
  ☆72Updated 8 months ago
• waterhorse1 / Natural-language-RL
  Natural Language Reinforcement Learning
  ☆100Updated 4 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 2 months ago
• ziyuwan / ReMA-public
  Reinforced Multi-LLM Agents training
  ☆60Updated 6 months ago
• test-time-interaction / TTI
  ☆66Updated 6 months ago
• architsharma97 / dpo-rlaif
  ☆100Updated last year