RLHFlow / RAFTLinks
This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or rejection sampling fine-tuning.
☆33Updated 10 months ago
Alternatives and similar repositories for RAFT
Users that are interested in RAFT are comparing it to the libraries listed below
Sorting:
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆63Updated 7 months ago
- ☆59Updated 11 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆22Updated 7 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 2 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆55Updated 8 months ago
- The official repository of the Omni-MATH benchmark.☆85Updated 7 months ago
- ☆68Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆63Updated 3 weeks ago
- Directional Preference Alignment☆59Updated 10 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 9 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆58Updated 2 weeks ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆123Updated 10 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆110Updated 7 months ago
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆158Updated last week
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆125Updated 4 months ago
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆58Updated 7 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆105Updated 2 months ago
- Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆83Updated 3 weeks ago
- The code and data for the paper JiuZhang3.0☆48Updated last year
- ☆48Updated 9 months ago
- ☆13Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤 𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- GenRM-CoT: Data release for verification rationales☆63Updated 9 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆109Updated 6 months ago
- Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"☆92Updated last week
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆143Updated 5 months ago
- Large Language Models Can Self-Improve in Long-context Reasoning☆72Updated 8 months ago
- ☆52Updated last month
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆139Updated 10 months ago