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researcher

Min Zhang

10 papers hereh-index 498.8k citations255 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.IR6
  • cs.CL2
  • cs.AI1
  • cs.LG1
same name
  • Min Zhang — 49 papers, h 11
  • Min Zhang — 32 papers, h 11
  • Min Zhang — 26 papers, h 7
  • Min Zhang — 24 papers, h 26
  • Min Zhang — 24 papers, h 6
  • Min Zhang — 23 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052024
most citedRepBERT: Contextualized Text Embeddings for First-Stage Retrieval

59 citations · 105 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.IR2020★ 8 cited

THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment

Yunqiu Shao, Bulou Liu, Jiaxin Mao +3

In this paper, we present our methodologies for tackling the challenges of legal case retrieval and entailment in the Competition on Legal Information Extraction / Entailment 2020…

cs.IR2020★ 14 cited

Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently

Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2

Ranking has always been one of the top concerns in information retrieval research. For decades, lexical matching signal has dominated the ad-hoc retrieval process, but it also has…

cs.LG2020★ 4 cited

Neural Logic Reasoning

Shaoyun Shi, Hanxiong Chen, Weizhi Ma +3

Recent years have witnessed the success of deep neural networks in many research areas. The fundamental idea behind the design of most neural networks is to learn similarity patter…

cs.IR2020★ 59 cited

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval

Jingtao Zhan, Jiaxin Mao, Yiqun Liu +2

Although exact term match between queries and documents is the dominant method to perform first-stage retrieval, we propose a different approach, called RepBERT, to represent docum…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.