Asap7772 / understanding-rlhf
☆24Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for understanding-rlhf
- Self-Supervised Alignment with Mutual Information☆14Updated 5 months ago
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆80Updated last week
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆24Updated 7 months ago
- Directional Preference Alignment☆50Updated last month
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆58Updated 3 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆48Updated 7 months ago
- ☆26Updated last year
- Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients☆26Updated 2 months ago
- ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment☆46Updated 5 months ago
- ☆114Updated 4 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆38Updated 10 months ago
- ☆73Updated 4 months ago
- CodeUltraFeedback: aligning large language models to coding preferences☆65Updated 4 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs?☆25Updated 5 months ago
- ☆90Updated 4 months ago
- Dateset Reset Policy Optimization☆28Updated 7 months ago
- Repository for Skill Set Optimization☆12Updated 3 months ago
- This is an official implementation of the paper ``Building Math Agents with Multi-Turn Iterative Preference Learning'' with multi-turn DP…☆15Updated 2 weeks ago
- ☆54Updated last month
- Efficient Scaling laws and collaborative pretraining.☆13Updated this week
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated 8 months ago
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆39Updated 3 months ago
- Code for LaMPP: Language Models as Probabilistic Priors for Perception and Action☆35Updated last year
- Q-Probe: A Lightweight Approach to Reward Maximization for Language Models☆37Updated 5 months ago
- Rewarded soups official implementation☆51Updated last year
- ☆18Updated 2 months ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆30Updated 3 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆44Updated 10 months ago
- ☆25Updated 3 weeks ago
- Simple and efficient pytorch-native transformer training and inference (batched)☆61Updated 7 months ago