Alternatives and similar repositories for PF-PPO-RLHF

Users that are interested in PF-PPO-RLHF are comparing it to the libraries listed below

• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆66Updated last year
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆29Updated last year
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 10 months ago
• FreedomIntelligence / OVM
  ☆70Updated last year
• yegcjs / mixinglaws
  ☆108Updated 5 months ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆49Updated last year
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆83Updated 11 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆80Updated 2 years ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 2 months ago
• wzhouad / WPO
  Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"
  ☆41Updated last year
• yyDing1 / ScaleQuest
  [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…
  ☆68Updated last year
• Zanette-Labs / SpeculativeRejection
  [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection
  ☆52Updated last year
• gl-ybnbxb / BoNBoN
  ☆18Updated last year
• feiyang-k / AutoScale
  Official Code Repository for [AutoScale📈: Scale-Aware Data Mixing for Pre-Training LLMs] Published as a conference paper at **COLM 2025*…
  ☆12Updated 4 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆149Updated 10 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆64Updated last year
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆105Updated last year
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆119Updated last year
• thu-wyz / inference_scaling
  ☆76Updated last year
• Linear95 / APO
  Code for ACL2024 paper - Adversarial Preference Optimization (APO).
  ☆56Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 6 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 10 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆64Updated last year
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆138Updated last month
• yyht / openrlhf_async_pipline
  ☆86Updated 4 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• hkust-nlp / WebExplorer
  The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"
  ☆89Updated 2 months ago