Demo Data from EDBT 2026 / reviewers in the wild / expert
Quanwei Shen
dblp:392/9736
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved
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 · 67% Representation and self-supervised learning · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › natural language understanding
character understanding |
0.9 | 1 | 2025 | Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning · ACL (1) 2025 |
Natural language and speech › Language models and text generation
tokenization |
0.9 | 1 | 2025 | Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning · ACL (1) 2025 |
Methods — techniques the papers use, named apart from their topics
token structure learning · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Enhancing Character-Level Understanding in LLMs through Token Internal Structure LearningabstractZhu Xu, Zhiqiang Zhao, Zihan Zhang, Yuchi Liu, Quanwei Shen, Fei Liu, Yu Kuang, Jian He, Conglin Liu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Yuchi Liu, Quanwei Shen, Yu Kuang, Conglin Liu |
ACL (1) | 5 |