Alternatives and similar repositories for Process_Q_Model:

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

• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆55Updated 2 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆44Updated last month
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆93Updated 3 months ago
• jwhj / OREO
  ☆90Updated 3 weeks ago
• wzhouad / WPO
  Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"
  ☆37Updated 4 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆60Updated last week
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆58Updated 3 months ago
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆51Updated 8 months ago
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆38Updated 6 months ago
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆42Updated 3 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆48Updated 2 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆115Updated 5 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆71Updated last month
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆72Updated 8 months ago
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆118Updated 3 weeks ago
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆51Updated 3 months ago
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆116Updated 3 months ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated 11 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆48Updated 4 months ago
• KbsdJames / Omni-MATH
  The official repository of the Omni-MATH benchmark.
  ☆71Updated last month
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆50Updated 8 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆29Updated 8 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆34Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆54Updated 4 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
  ☆52Updated this week
• kyegomez / Lets-Verify-Step-by-Step
  "Improving Mathematical Reasoning with Process Supervision" by OPENAI
  ☆103Updated this week
• FreedomIntelligence / OVM
  ☆64Updated 10 months ago