facebookresearch / ShepherdLinks
This is the repo for the paper Shepherd -- A Critic for Language Model Generation
☆217Updated 2 years ago
Alternatives and similar repositories for Shepherd
Users that are interested in Shepherd are comparing it to the libraries listed below
Sorting:
- ☆173Updated 2 years ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆246Updated last year
- Simple next-token-prediction for RLHF☆226Updated 2 years ago
- Reverse Instructions to generate instruction tuning data with corpus examples☆214Updated last year
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆207Updated 2 years ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆279Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆168Updated last month
- ☆274Updated 2 years ago
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆116Updated 2 years ago
- ☆149Updated last year
- ☆159Updated 2 years ago
- ☆128Updated last year
- Official codebase for "SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation"☆229Updated 2 years ago
- Scaling Data-Constrained Language Models☆342Updated 3 months ago
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆296Updated 8 months ago
- Code accompanying the paper Pretraining Language Models with Human Preferences☆180Updated last year
- ToolBench, an evaluation suite for LLM tool manipulation capabilities.☆163Updated last year
- ☆312Updated last year
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆163Updated last year
- ☆98Updated 2 years ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated 11 months ago
- Benchmarking LLMs with Challenging Tasks from Real Users☆242Updated 11 months ago
- ☆179Updated 2 years ago
- The dataset and code for paper: TheoremQA: A Theorem-driven Question Answering dataset☆159Updated last year
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆209Updated last year
- ☆242Updated 2 years ago
- ☆186Updated 8 months ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆153Updated last year
- DSIR large-scale data selection framework for language model training☆261Updated last year
- Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"☆116Updated this week