941 citations · 2.5k across the 22 of their papers we have counts for
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cs.CL2022★ 123 cited
Text Embeddings by Weakly-Supervised Contrastive Pre-training
Liang Wang, Nan Yang, Xiaolong Huang +5
This paper presents E5, a family of state-of-the-art text embeddings that transfer well to a wide range of tasks. The model is trained in a contrastive manner with weak supervision…
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…