Asap7772 / understanding-rlhfLinks
Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Our new work finds that approaches employing on-policy sampling or negative gradients outperform offline, maximum likelihood objectives.
☆29Updated last year
Alternatives and similar repositories for understanding-rlhf
Users that are interested in understanding-rlhf are comparing it to the libraries listed below
Sorting:
- NeurIPS 2024 tutorial on LLM Inference☆45Updated 7 months ago
- [ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)☆19Updated 5 months ago
- Dateset Reset Policy Optimization☆30Updated last year
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆44Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 7 months ago
- ☆33Updated 6 months ago
- ☆54Updated 2 weeks ago
- ☆87Updated last year
- ☆17Updated 8 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated 10 months ago
- CodeUltraFeedback: aligning large language models to coding preferences☆71Updated last year
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆59Updated 2 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- RL algorithm: Advantage induced policy alignment☆65Updated last year
- ☆144Updated 7 months ago
- Self-Supervised Alignment with Mutual Information☆20Updated last year
- official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…☆65Updated 3 months ago
- Directional Preference Alignment☆57Updated 9 months ago
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆58Updated last year
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆56Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆41Updated last year
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 10 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling☆33Updated 3 months ago
- Code for EMNLP'24 paper - On Diversified Preferences of Large Language Model Alignment☆16Updated 11 months ago
- ☆98Updated last year
- Repository for Skill Set Optimization☆14Updated 11 months ago
- Minimal RLHF implementation built on top of minGPT.☆30Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆44Updated 3 months ago
- ☆27Updated 2 years ago