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20032023
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 1.4k across the 21 of their papers we have counts for

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42 papers · 1 filter

cs.IR2023

Dense Retrieval Adaptation using Target Domain Description

Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur +3

In information retrieval (IR), domain adaptation is the process of adapting a retrieval model to a new domain whose data distribution is different from the source domain. Existing…

cs.IR2023

Generalized Weak Supervision for Neural Information Retrieval

Yen-Chieh Lien, Hamed Zamani, W. Bruce Croft

Neural ranking models (NRMs) have demonstrated effective performance in several information retrieval (IR) tasks. However, training NRMs often requires large-scale training data, w…

cs.IR202115 cited

Evaluating Fairness in Argument Retrieval

Sachin Pathiyan Cherumanal, Damiano Spina, Falk Scholer +1

Existing commercial search engines often struggle to represent different perspectives of a search query. Argument retrieval systems address this limitation of search engines and pr…

cs.IR202115 cited

Asking Clarifying Questions Based on Negative Feedback in Conversational Search

Keping Bi, Qingyao Ai, W. Bruce Croft

Users often need to look through multiple search result pages or reformulate queries when they have complex information-seeking needs. Conversational search systems make it possibl…

cs.IR2021

Passage Retrieval for Outside-Knowledge Visual Question Answering

Chen Qu, Hamed Zamani, Liu Yang +2

In this work, we address multi-modal information needs that contain text questions and images by focusing on passage retrieval for outside-knowledge visual question answering. This…

cs.IR202114 cited

A Neural Passage Model for Ad-hoc Document Retrieval

Qingyao Ai, Brendan O Connor, W. Bruce Croft

Traditional statistical retrieval models often treat each document as a whole. In many cases, however, a document is relevant to a query only because a small part of it contain the…