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20152026
most citedReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

211 citations · 674 across the 113 of their papers we have counts for

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Showing cs.IRShow all

5 papers · 1 filter

cs.IR2026

Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage

Saron Samuel, Alexander Martin, Eugene Yang +5

Retrieval-augmented generation (RAG) systems combine document retrieval with a generative model to address complex information seeking tasks like report generation. While the relat…

cs.IR2023★ 3 cited

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets

Orion Weller, Kyle Lo, David Wadden +4

Using large language models (LMs) for query or document expansion can improve generalization in information retrieval. However, it is unknown whether these techniques are universal…

cs.IR2023★ 1 cited

MultiVENT: Multilingual Videos of Events with Aligned Natural Text

Kate Sanders, David Etter, Reno Kriz +1

Everyday news coverage has shifted from traditional broadcasts towards a wide range of presentation formats such as first-hand, unedited video footage. Datasets that reflect the di…

cs.IR2023★ 1 cited

NevIR: Negation in Neural Information Retrieval

Orion Weller, Dawn Lawrie, Benjamin Van Durme

Negation is a common everyday phenomena and has been a consistent area of weakness for language models (LMs). Although the Information Retrieval (IR) community has adopted LMs as t…

cs.IR2016

Discriminative Information Retrieval for Knowledge Discovery

Tongfei Chen, Benjamin Van Durme

We propose a framework for discriminative Information Retrieval (IR) atop linguistic features, trained to improve the recall of tasks such as answer candidate passage retrieval, th…