🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
-
Updated
Dec 19, 2023 - Python
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
Tevatron - A flexible toolkit for neural retrieval research and development.
Train Models Contrastively in Pytorch
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
EMNLP 2021 - Pre-training architectures for dense retrieval
Train Dense Passage Retriever (DPR) with a single GPU
A Python Search Engine for Humans 🥸
[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
All-in-One: Text Embedding, Retrieval, Reranking and RAG
🔗 A graph-augmented dense statute retriever. (EACL 2023)
Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".
SIGIR'2022, Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Dual Cross Encoder for Dense Retrieval
Add a description, image, and links to the dense-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the dense-retrieval topic, visit your repo's landing page and select "manage topics."