Yujun Audrey Mao

dblp:439/2635 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 100%
Software engineering, system software, and programming languages
1 paper
Program synthesis and code generation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
code generation
1.012026
RExBench: Can coding agents autonomously implement AI research extensions? · ACL (1) 2026
Program synthesis and code generation
code agent
0.312026
RExBench: Can coding agents autonomously implement AI research extensions? · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

coding agents · 2.0benchmark evaluation · 2.0
YearPublicationVenuePosition
2026 RExBench: Can coding agents autonomously implement AI research extensions?
abstract
Nicholas Edwards, Yukyung Lee, Yujun Audrey Mao, Yulu Qin, Sebastian Schuster, Najoung Kim. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Nicholas Edwards, Yukyung Lee, Yujun Audrey Mao, Yulu Qin, Sebastian Schuster 0001, Najoung Kim
ACL (1)3