louieworth / awesome-rlhf
An index of algorithms for reinforcement learning from human feedback (rlhf))
☆90Updated 9 months ago
Alternatives and similar repositories for awesome-rlhf:
Users that are interested in awesome-rlhf are comparing it to the libraries listed below
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆64Updated 4 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆124Updated 6 months ago
- Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)☆167Updated last year
- AI Alignment: A Comprehensive Survey☆133Updated last year
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆138Updated last month
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆24Updated last year
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆38Updated 2 months ago
- ☆24Updated 10 months ago
- Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…☆102Updated 6 months ago
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆33Updated 5 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆111Updated 4 months ago
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆49Updated last month
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆55Updated 3 weeks ago
- This my attempt to create Self-Correcting-LLM based on the paper Training Language Models to Self-Correct via Reinforcement Learning by g…☆29Updated 2 weeks ago
- ☆61Updated 9 months ago
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆90Updated 3 weeks ago
- [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents☆33Updated 8 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆62Updated this week
- Directional Preference Alignment☆54Updated 3 months ago
- This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.☆272Updated 5 months ago
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆63Updated 11 months ago
- ☆46Updated last month
- ☆125Updated last month
- A curated reading list for large language model (LLM) alignment. Take a look at our new survey "Large Language Model Alignment: A Survey"…☆72Updated last year
- Direct preference optimization with f-divergences.☆13Updated 2 months ago
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆22Updated 3 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆49Updated 7 months ago
- GenRM-CoT: Data release for verification rationales☆42Updated 3 months ago
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆85Updated 11 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆44Updated last month