RLHFlow / Online-RLHF
A recipe for online RLHF and online iterative DPO.
☆484Updated last month
Alternatives and similar repositories for Online-RLHF:
Users that are interested in Online-RLHF are comparing it to the libraries listed below
- Recipes to train reward model for RLHF.☆1,181Updated last week
- The official implementation of Self-Play Preference Optimization (SPPO)☆481Updated 3 weeks ago
- RewardBench: the first evaluation tool for reward models.☆508Updated this week
- ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)☆575Updated last month
- This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.☆289Updated 6 months ago
- ☆320Updated 2 weeks ago
- [NeurIPS 2024] BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models☆243Updated 2 months ago
- The official repo for paper, LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.☆266Updated 2 months ago
- Official repository for ICLR 2025 paper "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing". Your efficient an…☆630Updated last week
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models☆407Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆821Updated this week
- Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"☆348Updated last month
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆412Updated 4 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆804Updated last week
- A series of technical report on Slow Thinking with LLM☆411Updated last week
- ☆476Updated last month
- ☆258Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆451Updated 11 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆534Updated 2 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆329Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆307Updated 4 months ago
- RLHF implementation details of OAI's 2019 codebase☆178Updated last year
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆344Updated last year
- 🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.☆194Updated last week
- Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models☆245Updated 5 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆464Updated last month