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researcher

Yan Gao

16 papers hereh-index 151.2k citations24 works total

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

author position
  • first author1
  • middle author15

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.AI3
same name
  • Yan Gao — 18 papers, h 6
  • Yan Gao — 16 papers, h 4
  • Yan Gao — 14 papers, h 17
  • Yan Gao — 12 papers, h 9
  • Yan Gao — 11 papers, h 4
  • Yan Gao — 10 papers, h 5

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
20192024
most citedCompositional Generalization by Learning Analytical Expressions

29 citations · 86 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Uncovering and Categorizing Social Biases in Text-to-SQL

Yan Liu, Yan Gao, Zhe Su +3

Content Warning: This work contains examples that potentially implicate stereotypes, associations, and other harms that could be offensive to individuals in certain social groups.}…

cs.CL2023★ 4 cited

Uncovering and Quantifying Social Biases in Code Generation

Yan Liu, Xiaokang Chen, Yan Gao +6

With the popularity of automatic code generation tools, such as Copilot, the study of the potential hazards of these tools is gaining importance. In this work, we explore the socia…

cs.CL2023

TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering

Jian Wu, Yicheng Xu, Yan Gao +3

Hybrid Question-Answering (HQA), which targets reasoning over tables and passages linked from table cells, has witnessed significant research in recent years. A common challenge in…

cs.CL2023

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge

Longxu Dou, Yan Gao, Xuqi Liu +6

In this paper, we study the problem of knowledge-intensive text-to-SQL, in which domain knowledge is necessary to parse expert questions into SQL queries over domain-specific table…

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