Alternatives and similar repositories for atlas

Users that are interested in atlas are comparing it to the libraries listed below

• facebookresearch / contriever
  Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning
  ☆757Updated 2 years ago
• facebookresearch / FiD
  Fusion-in-Decoder
  ☆587Updated 2 years ago
• princeton-nlp / ALCE
  [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
  ☆498Updated 11 months ago
• Shark-NLP / OpenICL
  OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
  ☆574Updated 2 years ago
• SinclairCoder / Instruction-Tuning-Papers
  Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
  ☆770Updated 2 years ago
• facebookresearch / dpr-scale
  Scalable training for dense retrieval models.
  ☆298Updated 3 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆359Updated last year
• AI21Labs / in-context-ralm
  ☆291Updated last year
• allenai / natural-instructions
  Expanding natural instructions
  ☆1,020Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆547Updated last year
• google-research / prompt-tuning
  Original Implementation of Prompt Tuning from Lester, et al, 2021
  ☆694Updated 7 months ago
• bigscience-workshop / t-zero
  Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
  ☆462Updated 2 years ago
• pengbaolin / LLM-Augmenter
  ☆444Updated 2 years ago
• r-three / t-few
  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
  ☆457Updated 2 years ago
• kojima-takeshi188 / zero_shot_cot
  Prod Env
  ☆430Updated last year
• RUCAIBox / HaluEval
  This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.
  ☆514Updated last year
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆341Updated last year
• jeffhj / LM-reasoning
  This repository contains a collection of papers and resources on Reasoning in Large Language Models.
  ☆564Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆259Updated last year
• AlexTMallen / adaptive-retrieval
  ☆189Updated 3 months ago
• texttron / tevatron
  Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.
  ☆697Updated last month
• ContextualAI / gritlm
  Generative Representational Instruction Tuning
  ☆674Updated 3 months ago
• suzgunmirac / BIG-Bench-Hard
  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
  ☆515Updated last year
• facebookresearch / tart
  Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
  ☆163Updated 2 years ago
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆312Updated last year
• xlang-ai / Binder
  [ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"
  ☆322Updated 2 years ago
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆246Updated last year
• night-chen / ToolQA
  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …
  ☆277Updated 2 years ago
• jayelm / gisting
  Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467
  ☆295Updated 7 months ago
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆549Updated 8 months ago