Demo Data from EDBT 2026 / reviewers in the wild / expert
Seonghyeon Bae
dblp:368/2621
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 50% Debugging and program repair · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
code generation |
0.8 | 1 | 2024 | Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code · EMNLP 2024 |
Debugging and program repair
program repair |
0.8 | 1 | 2024 | Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code · EMNLP 2024 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 0.8large language model · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous CodeabstractHyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024. Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, Seung-won Hwang, Jinyoung Yeo |
EMNLP | 8 |