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Zijie Wang

7 papers hereh-index 430 citations11 works total

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

author position
  • first author5
  • middle author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.IR2
  • cs.DB1
same name
  • Zijie Wang — 4 papers, h 2
  • Zijie Wang — 4 papers, h 0
  • Zijie Wang — 3 papers, h 10
  • Zijie Wang — 3 papers
  • Zijie Wang — 3 papers, h 2
  • Zijie Wang — 2 papers, h 2

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
20202026
most citedBenchmark of DNN Model Search at Deployment Time

3 citations · 6 across the 7 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding

Zijie Wang, MohammadHossein Rezaei, Farzana Rashid +1

Negation is a common and important semantic feature in natural language, yet Large Language Models (LLMs) struggle when negation is involved in natural language understanding tasks…

cs.CL2025

Identifying and Answering Questions with False Assumptions: An Interpretable Approach

Zijie Wang, Eduardo Blanco

People often ask questions with false assumptions, a type of question that does not have regular answers. Answering such questions requires first identifying the false assumptions.…

cs.CL2024

Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains

Zijie Wang, Farzana Rashid, Eduardo Blanco

People often answer yes-no questions without explicitly saying yes, no, or similar polar keywords. Figuring out the meaning of indirect answers is challenging, even for large langu…

cs.CL2023

Interpreting Indirect Answers to Yes-No Questions in Multiple Languages

Zijie Wang, Md Mosharaf Hossain, Shivam Mathur +8

Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we foc…

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