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.
☆39Updated last year
Alternatives and similar repositories for RAFT
Users that are interested in RAFT are comparing it to the libraries listed below
Sorting:
- [ICLR2026] Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆62Updated 8 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 3 months ago
- ☆72Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆124Updated last year
- The official repository of the Omni-MATH benchmark.☆93Updated last year
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆120Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated last year
- ☆58Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 8 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆26Updated last year
- Repo of paper "Free Process Rewards without Process Labels"☆168Updated 10 months ago
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆70Updated 6 months ago
- Directional Preference Alignment☆58Updated last year
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- Code accompanying the paper "Noise Contrastive Alignment of Language Models with Explicit Rewards" (NeurIPS 2024)☆58Updated last year
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆157Updated 3 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆73Updated 6 months ago
- ☆13Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 8 months ago
- ☆56Updated 4 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆182Updated 6 months ago
- ☆214Updated 11 months ago
- ☆53Updated 8 months ago
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆53Updated 7 months ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆183Updated 8 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆64Updated last year
- instruction-following benchmark for large reasoning models☆44Updated 5 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- ☆72Updated 7 months ago
- Model merging is a highly efficient approach for long-to-short reasoning.☆98Updated 3 months ago