Topic: dense-retrieval Goto Github
Some thing interesting about dense-retrieval
Some thing interesting about dense-retrieval
dense-retrieval,SIGIR'2022, Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
User: albert-ma
dense-retrieval,[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Organization: alibaba-nlp
dense-retrieval,A Python Search Engine for Humans 🥸
User: amenra
dense-retrieval,efficient query encoding for dense retrieval
Organization: amzn
dense-retrieval,Experimental code for our paper on informative and diverse sampling of negative examples for dense retrieval
Organization: amzn
Home Page: https://www.amazon.science/publications/indi-informative-and-diverse-sampling-for-dense-retrieval
dense-retrieval,Explore from keyword search to dense retrieval and reranking, which injects the intelligence of LLMs into your search system, making it faster and more effective.
User: arslankas
Home Page: https://www.deeplearning.ai/short-courses/large-language-models-semantic-search/
dense-retrieval,Dense Bi-Encoder Retrieval for Rapid Experimentation
User: ayuei
dense-retrieval,A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).
User: caiyinqiong
dense-retrieval,Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
User: dcarpintero
Home Page: https://wikisearch.streamlit.app/
dense-retrieval,Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
User: devsinghsachan
dense-retrieval,Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)
User: drogozhang
dense-retrieval,Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Organization: freedomintelligence
dense-retrieval,Code for the paper: Modular Retrieval for Generalization and Interpretation.
Organization: freedomintelligence
dense-retrieval,A library to calculate similarity scores between two collections of text sequences encoded using transformer models for bitext mining, dense retrieval, retrieval-based classification, and retrieval-augmented generation (RAG).
User: gentaiscool
dense-retrieval,A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).
Organization: ict-bigdatalab
dense-retrieval,An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
User: jingtaozhan
dense-retrieval,CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
User: jingtaozhan
dense-retrieval,CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
User: jingtaozhan
dense-retrieval,WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
User: jingtaozhan
dense-retrieval,Dual Cross Encoder for Dense Retrieval
User: jordane95
dense-retrieval,Code and created datasets for our ACL 2022 paper: "Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations"
User: lemuria-wchen
dense-retrieval,
User: liteobject
dense-retrieval,All-in-One: Text Embedding, Retrieval, Reranking and RAG
User: longxingtan
Home Page: https://open-retrievals.readthedocs.io/en/latest/
dense-retrieval,EMNLP 2021 - Pre-training architectures for dense retrieval
User: luyug
dense-retrieval,Train Dense Passage Retriever (DPR) with a single GPU
User: luyug
dense-retrieval,🔗 A graph-augmented dense statute retriever. (EACL 2023)
Organization: maastrichtlawtech
Home Page: https://aclanthology.org/2023.eacl-main.203/
dense-retrieval,A tailored Chatbot to reduce hallucinations and improve factuality.
User: matcar02
dense-retrieval,Code and data for reproducing baselines for TopiOCQA, an open-domain conversational question-answering dataset
Organization: mcgill-nlp
dense-retrieval,SimXNS is a research project for information retrieval. This repo contains official implementations by MSRA NLC team.
Organization: microsoft
Home Page: https://aka.ms/simxns
dense-retrieval,Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
Organization: ml4bio
dense-retrieval,Train Models Contrastively in Pytorch
Organization: nomic-ai
dense-retrieval,Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
Organization: openmatch
dense-retrieval,[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".
Organization: openmatch
Home Page: https://arxiv.org/abs/2210.15212
dense-retrieval,🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.
Organization: paddlepaddle
dense-retrieval,A set of dense retrieval models.
User: phonism
dense-retrieval,Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
User: prithivirajdamodaran
dense-retrieval,
User: runtime-error786
dense-retrieval,Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
User: seanlee97
Home Page: https://arxiv.org/abs/2309.12871
dense-retrieval,SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
User: sebastian-hofstaetter
dense-retrieval,Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022
User: sebastian-hofstaetter
dense-retrieval,Braggosaurus Rex, the fragrant one, dragon of prague, keeper of the ragtag dragoons...
User: shauryashaurya
dense-retrieval,HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Organization: texttron
dense-retrieval,Tevatron - A flexible toolkit for neural retrieval research and development.
Organization: texttron
Home Page: http://tevatron.ai
dense-retrieval,揣摩研习社关注自然语言和信息检索前沿技术,解读热门科技论文,分享实用科研工具,挖掘人工智能冰山之下的学术和应用价值!
Organization: trymoregroup
dense-retrieval,Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
User: voidism
Home Page: https://arxiv.org/abs/2305.17080
dense-retrieval,A dense passage retriever model using a knowledge distillation technique that uses the student model itself as a teacher model.
User: yooeunseok
Home Page: https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11646268
dense-retrieval,[ACL'23 Findings] This is the code repo for our ACL'23 Findings paper "ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval".
User: yueyu1030
Home Page: https://arxiv.org/abs/2305.10703
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