tomekkorbak / pretraining-with-human-feedbackLinks
Code accompanying the paper Pretraining Language Models with Human Preferences
☆182Updated last year
Alternatives and similar repositories for pretraining-with-human-feedback
Users that are interested in pretraining-with-human-feedback are comparing it to the libraries listed below
Sorting:
- ☆159Updated 2 years ago
- A repository for transformer critique learning and generation☆90Updated last year
- Simple next-token-prediction for RLHF☆227Updated last year
- Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"☆208Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆162Updated 2 months ago
- ☆239Updated 2 years ago
- ☆96Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 10 months ago
- A (somewhat) minimal library for finetuning language models with PPO on human feedback.☆85Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- ☆180Updated 2 years ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆85Updated last year
- ☆99Updated last year
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆162Updated last year
- This is the repo for the paper Shepherd -- A Critic for Language Model Generation☆219Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆181Updated 2 years ago
- RL algorithm: Advantage induced policy alignment☆65Updated last year
- DialOp: Decision-oriented dialogue environments for collaborative language agents☆109Updated 8 months ago
- For experiments involving instruct gpt. Currently used for documenting open research questions.☆71Updated 2 years ago
- The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions☆70Updated 2 years ago
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated last year
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆208Updated 2 years ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated last month
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆289Updated 5 months ago
- Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging☆108Updated last year
- About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…☆70Updated last year
- ☆147Updated 8 months ago
- Inspecting and Editing Knowledge Representations in Language Models☆116Updated 2 years 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 11 months ago
- A unified benchmark for math reasoning☆88Updated 2 years ago