tomekkorbak / pretraining-with-human-feedback
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
- ☆159Updated 2 years ago
- A repository for transformer critique learning and generation☆89Updated last year
- Simple next-token-prediction for RLHF☆224Updated last year
- ☆236Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆158Updated last year
- ☆97Updated last year
- ☆96Updated 9 months ago
- A framework for few-shot evaluation of autoregressive language models.☆103Updated last year
- Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"☆205Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆180Updated 2 years ago
- ☆274Updated 3 months ago
- ☆178Updated 2 years ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆74Updated last year
- This is the repo for the paper Shepherd -- A Critic for Language Model Generation☆218Updated last year
- A (somewhat) minimal library for finetuning language models with PPO on human feedback.☆85Updated 2 years ago
- Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)☆85Updated last year
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 7 months ago
- About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…☆70Updated last year
- The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"☆108Updated last year
- For experiments involving instruct gpt. Currently used for documenting open research questions.☆71Updated 2 years ago
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆157Updated 11 months ago
- ☆83Updated 2 months ago
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆283Updated 2 months ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆114Updated 7 months ago
- ☆95Updated last year
- ☆87Updated 9 months ago
- Reasoning with Language Model is Planning with World Model☆163Updated last year
- Data and code for the ICLR 2023 paper "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning".☆150Updated last year
- Inspecting and Editing Knowledge Representations in Language Models☆115Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆113Updated 4 months ago