941 citations · 2.5k across the 22 of their papers we have counts for
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cs.IR2023★ 6 cited
Query2doc: Query Expansion with Large Language Models
Liang Wang, Nan Yang, Furu Wei
This paper introduces a simple yet effective query expansion approach, denoted as query2doc, to improve both sparse and dense retrieval systems. The proposed method first generates…
cs.IR2022★ 4 cited
Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval
Zehan Li, Nan Yang, Liang Wang +1
In this paper, we propose a new dense retrieval model which learns diverse document representations with deep query interactions. Our model encodes each document with a set of gene…
cs.IR2022★ 6 cited
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
Liang Wang, Nan Yang, Xiaolong Huang +5
In this paper, we propose SimLM (Similarity matching with Language Model pre-training), a simple yet effective pre-training method for dense passage retrieval. It employs a simple…