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Passage Retrieval

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.

Papers

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Showing 1–25 of 268 papers

TitleStatusHype
BM25S: Orders of magnitude faster lexical search via eager sparse scoringCode5
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval ModelsCode2
MiniLLM: Knowledge Distillation of Large Language ModelsCode2
Retrieval Oriented Masking Pre-training Language Model for Dense Passage RetrievalCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation GenerationCode2
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple ParagraphsCode2
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
SGPT: GPT Sentence Embeddings for Semantic SearchCode2
Retrieval Augmented Visual Question Answering with Outside KnowledgeCode2
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionCode2
Multi-CPR: A Multi Domain Chinese Dataset for Passage RetrievalCode2
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
DAPR: A Benchmark on Document-Aware Passage RetrievalCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?Code1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
CoRT: Complementary Rankings from TransformersCode1
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during TrainingCode1
Augmenting Document Representations for Dense Retrieval with Interpolation and PerturbationCode1
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage RetrievalCode1
Curriculum Learning for Dense Retrieval DistillationCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
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