A dense passage retriever model using a knowledge distillation technique that uses the student model itself as a teacher model.
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Updated
Aug 2, 2024 - Python
A dense passage retriever model using a knowledge distillation technique that uses the student model itself as a teacher model.
Experimental code for our paper on informative and diverse sampling of negative examples for 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).
Dense Bi-Encoder Retrieval for Rapid Experimentation
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.
CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
Code and created datasets for our ACL 2022 paper: "Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations"
efficient query encoding for dense retrieval
Code for the paper: Modular Retrieval for Generalization and Interpretation.
All-in-One: Text Embedding, Retrieval, Reranking and RAG
Dual Cross Encoder for Dense Retrieval
🔗 A graph-augmented dense statute retriever. (EACL 2023)
Code and data of the EMNLP 2022 Main Conference paper "Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives".
[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".
Source code of paper 'LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval' (WWW 2023)
SIGIR'2022, Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage 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.
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