facebookresearch / tart
Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
☆162Updated last year
Alternatives and similar repositories for tart:
Users that are interested in tart are comparing it to the libraries listed below
- Scalable training for dense retrieval models.☆292Updated 2 months ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆128Updated last year
- Inquisitive Parrots for Search☆190Updated last year
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆101Updated 2 years ago
- ☆174Updated 2 years ago
- The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)☆157Updated 2 years ago
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆83Updated 8 months ago
- ☆132Updated 3 months ago
- Code of ICLR paper: https://openreview.net/forum?id=-cqvvvb-NkI☆94Updated 2 years ago
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated last year
- Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation☆198Updated last year
- Reverse Instructions to generate instruction tuning data with corpus examples☆209Updated last year
- Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.☆180Updated 2 years ago
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆94Updated last year
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆150Updated last year
- ☆159Updated 2 years ago
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆115Updated 7 months ago
- ☆279Updated last year
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆240Updated last year
- ☆173Updated last year
- ☆64Updated 2 years ago
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated 3 months ago
- Open Instruction Generalist is an assistant trained on massive synthetic instructions to perform many millions of tasks☆208Updated last year
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆79Updated 7 months ago
- RARR: Researching and Revising What Language Models Say, Using Language Models☆46Updated last year
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆159Updated 11 months ago
- Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"☆62Updated 2 years ago
- Finetune mistral-7b-instruct for sentence embeddings☆81Updated last year
- ☆97Updated 2 years ago
- Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning☆100Updated last year