louieworth / awesome-rlhf
An index of algorithms for reinforcement learning from human feedback (rlhf))
☆87Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-rlhf
- Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)☆151Updated 11 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆107Updated 4 months ago
- Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)☆23Updated 11 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆119Updated last week
- [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization☆54Updated 3 months ago
- [NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents☆32Updated 6 months ago
- AI Alignment: A Comprehensive Survey☆128Updated last year
- A curated reading list for large language model (LLM) alignment. Take a look at our new survey "Large Language Model Alignment: A Survey"…☆71Updated last year
- Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied wit…☆84Updated 4 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆97Updated 2 months ago
- Code for ACL2024 paper - Adversarial Preference Optimization (APO).☆49Updated 5 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆29Updated 3 weeks ago
- Implementation of the ICML 2024 paper "Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning" pr…☆74Updated 9 months ago
- Code for the ICML 2024 paper "Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment"☆48Updated 2 weeks ago
- ☆18Updated last year
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆111Updated last year
- ☆64Updated 2 months ago
- Research Code for "ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL"☆105Updated 7 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆40Updated 2 months ago
- This is the repository that contains the source code for the Self-Evaluation Guided MCTS for online DPO.☆199Updated 3 months ago
- Paper collections of the continuous effort start from World Models.☆140Updated 4 months ago
- Rewarded soups official implementation☆51Updated last year
- ☆24Updated 8 months ago
- A continually updated list of literature on Reinforcement Learning from AI Feedback (RLAIF)☆138Updated last month
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models☆59Updated 9 months ago
- The related works and background techniques about Openai o1☆142Updated last week
- Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).☆14Updated last year
- [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!☆29Updated 3 months ago
- ☆33Updated 9 months ago
- ☆19Updated 6 months ago