tomekkorbak / pretraining-with-human-feedbackLinks
Code accompanying the paper Pretraining Language Models with Human Preferences
☆180Updated 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:
- ☆158Updated 2 years ago
- Simple next-token-prediction for RLHF☆228Updated 2 years ago
- A repository for transformer critique learning and generation☆89Updated 2 years ago
- Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"☆210Updated 2 years ago
- ☆250Updated 3 years ago
- ☆98Updated 2 years ago
- This is the repo for the paper Shepherd -- A Critic for Language Model Generation☆222Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆78Updated last year
- A (somewhat) minimal library for finetuning language models with PPO on human feedback.☆89Updated 3 years ago
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆207Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆169Updated 4 months ago
- ☆99Updated last year
- RL algorithm: Advantage induced policy alignment☆66Updated 2 years ago
- For experiments involving instruct gpt. Currently used for documenting open research questions.☆71Updated 3 years ago
- ☆180Updated 2 years ago
- About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…☆74Updated last week
- The GitHub repo for Goal Driven Discovery of Distributional Differences via Language Descriptions☆72Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆162Updated last year
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆119Updated 2 years ago
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆165Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆183Updated 3 years ago
- Scaling Data-Constrained Language Models☆342Updated 7 months ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆102Updated 2 years ago
- DialOp: Decision-oriented dialogue environments for collaborative language agents☆111Updated last year
- Inspecting and Editing Knowledge Representations in Language Models☆119Updated 2 years ago
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆304Updated 11 months ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆116Updated 7 months ago
- ☆44Updated last year
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆107Updated 2 years ago
- A framework for few-shot evaluation of autoregressive language models.☆106Updated 2 years ago