Alternatives and similar repositories for dpr-scale:

Users that are interested in dpr-scale are comparing it to the libraries listed below

• zetaalphavector / InPars
  Inquisitive Parrots for Search
  ☆183Updated 11 months ago
• facebookresearch / SEAL
  Search Engines with Autoregressive Language models
  ☆281Updated last year
• luyug / Reranker
  Build Text Rerankers with Deep Language Models
  ☆253Updated 11 months ago
• nyu-mll / quality
  ☆124Updated last week
• facebookresearch / tart
  Code and model release for the paper "Task-aware Retrieval with Instructions" by Asai et al.
  ☆162Updated last year
• bigscience-workshop / lm-evaluation-harness
  A framework for few-shot evaluation of autoregressive language models.
  ☆102Updated last year
• facebookresearch / NPM
  The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)
  ☆157Updated 2 years ago
• AlexTMallen / adaptive-retrieval
  ☆173Updated 2 years ago
• luyug / Condenser
  EMNLP 2021 - Pre-training architectures for dense retrieval
  ☆244Updated 2 years ago
• facebookresearch / FiD
  Fusion-in-Decoder
  ☆558Updated last year
• google-research / longt5
  ☆182Updated last year
• DevSinghSachan / unsupervised-passage-reranking
  Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
  ☆99Updated 2 years ago
• texttron / tevatron
  Tevatron - A flexible toolkit for neural retrieval research and development.
  ☆555Updated 2 months ago
• Mivg / SLED
  The official repository for Efficient Long-Text Understanding Using Short-Text Models (Ivgi et al., 2022) paper
  ☆68Updated last year
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆224Updated last year
• allenai / wimbd
  What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets
  ☆204Updated 2 months ago
• allenai / catwalk
  This project studies the performance and robustness of language models and task-adaptation methods.
  ☆142Updated 8 months ago
• maszhongming / UniEval
  Repository for EMNLP 2022 Paper: Towards a Unified Multi-Dimensional Evaluator for Text Generation
  ☆195Updated 11 months ago
• google-research / t5x_retrieval
  ☆96Updated 2 years ago
• luyug / Dense
  A toolkit for building dense retrievers with deep language models.
  ☆55Updated 3 years ago
• yizhongw / Tk-Instruct
  Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.
  ☆180Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆242Updated 9 months ago
• chaitanyamalaviya / ExpertQA
  [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers
  ☆124Updated 10 months ago
• castorini / dhr
  Dense hybrid representations for text retrieval
  ☆62Updated last year
• martiansideofthemoon / rankgen
  Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…
  ☆136Updated last year
• AI21Labs / in-context-ralm
  ☆269Updated last year
• luyug / GC-DPR
  Train Dense Passage Retriever (DPR) with a single GPU
  ☆130Updated 3 years ago
• facebookresearch / atlas
  Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…
  ☆524Updated last year
• ArvinZhuang / DSI-transformers
  A huggingface transformers implementation of "Transformer Memory as a Differentiable Search Index"
  ☆169Updated 2 years ago
• ielab / llm-rankers
  Zero-shot Document Ranking with Large Language Models.
  ☆105Updated 6 months ago