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Passage Retrieval

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평가표: 19
보존된 평가 기록: 38

Passage retrieval is a specialized type of IR application that retrieves relevant passages (or pieces of text) rather than an entire ranked set of documents.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/junnyu/dpr_paddle

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/kylrth/procedure-generation

Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering

https://github.com/ledmaster/tw-bert

https://github.com/ll0ruc/AutoMIR

Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

https://github.com/lukevs/charity-explorer

Passage Re-ranking with BERT

https://github.com/luyug/GC-DPR

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/microsoft/seed-encoder

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

https://github.com/mrjleo/ranking-models

Passage Re-ranking with BERT

https://github.com/naver/splade

SPLADE-v3: New baselines for SPLADE

https://github.com/nidhikamal-emb/DPR_repo

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/nthakur20/income

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/nuochenpku/orca

Open-Domain Question Answering Goes Conversational via Question Rewriting

https://github.com/openmatch/ance-tele

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/openmatch/coco-dr

Large Dual Encoders Are Generalizable Retrievers

https://github.com/oriram/spider

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/osu-nlp-group/hipporag

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

https://github.com/princeton-nlp/helmet

QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs

https://github.com/qihoo360/360zhinao

Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training

https://github.com/samsam3232/qampari

QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs

https://github.com/soldni/pyterrier_sentence_transformers

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/stanford-futuredata/Baleen

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

https://github.com/terrierteam/pyterrier_ance

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

https://github.com/terrierteam/pyterrier_deepct

Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval

https://github.com/terrierteam/pyterrier_dr

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

https://github.com/texttron/tevatron

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/texttron/tevatron/tree/main/examples/repllama

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

https://github.com/thakur-nandan/beir-colbert

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

https://github.com/thakur-nandan/income

Unsupervised Dense Information Retrieval with Contrastive Learning

https://github.com/uclnlp/APE

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

https://github.com/xfactlab/emnlp2023-damaging-retrieval

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

https://github.com/xhluca/bm25-benchmarks

BM25S: Orders of magnitude faster lexical search via eager sparse scoring

https://github.com/yang-ze-kang/PassageReranking

Passage Re-ranking with BERT

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