facebookresearch / atlas
Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03299)
☆517Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for atlas
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆685Updated last year
- Fusion-in-Decoder☆549Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆461Updated last month
- Expanding natural instructions☆959Updated 11 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆756Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆457Updated 2 years ago
- Tevatron - A flexible toolkit for neural retrieval research and development.☆524Updated last month
- Scalable training for dense retrieval models.☆271Updated last year
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆431Updated last year
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆541Updated last year
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆543Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆657Updated 5 months ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆782Updated 4 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆744Updated this week
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆528Updated 8 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆410Updated 9 months ago
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆478Updated 6 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆306Updated 10 months ago
- ☆265Updated 11 months ago
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆306Updated last year
- DSIR large-scale data selection framework for language model training☆230Updated 7 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆240Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆309Updated last year
- All available datasets for Instruction Tuning of Large Language Models☆237Updated 11 months ago
- ☆625Updated last month
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆318Updated 10 months ago
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆459Updated 7 months ago
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆231Updated last year
- ☆444Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆292Updated 6 months ago