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Wanjun Zhong

26 papers hereh-index 223.8k citations37 works total

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

author position
  • first author12
  • middle author12

Across the 24 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.CV4
same name
  • Wanjun Zhong — 13 papers, h 13
  • Wanjun Zhong — 9 papers, h 11
  • Wanjun Zhong — 3 papers, h 3
  • Wanjun Zhong — 3 papers, h 2
  • Wanjun Zhong — 2 papers, h 4
  • Wanjun Zhong — 1 paper

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
20182024
most citedAGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

62 citations · 176 across the 26 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021★ 3 cited

From LSAT: The Progress and Challenges of Complex Reasoning

Siyuan Wang, Zhongkun Liu, Wanjun Zhong +4

Complex reasoning aims to draw a correct inference based on complex rules. As a hallmark of human intelligence, it involves a degree of explicit reading comprehension, interpretati…

cs.CL2021★ 12 cited

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text

Siyuan Wang, Wanjun Zhong, Duyu Tang +5

Logical reasoning of text requires understanding critical logical information in the text and performing inference over them. Large-scale pre-trained models for logical reasoning m…

cs.CL2021★ 6 cited

AR-LSAT: Investigating Analytical Reasoning of Text

Wanjun Zhong, Siyuan Wang, Duyu Tang +6

Analytical reasoning is an essential and challenging task that requires a system to analyze a scenario involving a set of particular circumstances and perform reasoning over it to…

cs.CL2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach

Junjie Huang, Duyu Tang, Wanjun Zhong +5

Producing the embedding of a sentence in an unsupervised way is valuable to natural language matching and retrieval problems in practice. In this work, we conduct a thorough examin…

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