VLDB 2026 Research / reviewers in the wild / expert
Zewei Yu
dblp:409/7834
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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
2 papers |
Question answering and dialogue systems · 36% Information extraction and text analysis · 32% Efficient and distributed learning · 32% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Question answering and dialogue systems
table question answering |
1.0 | 1 | 2026 | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph · ACL (1) 2026 |
Natural language and speech › Question answering and dialogue systems › table question answering
table reasoning |
1.0 | 1 | 2026 | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph · ACL (1) 2026 |
Natural language and speech › Information extraction and text analysis
data annotation |
0.9 | 1 | 2025 | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation · ACL (1) 2025 |
Machine learning › Efficient and distributed learning › model compression
knowledge distillation |
0.9 | 1 | 2025 | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation · ACL (1) 2025 |
Natural language and speech › Information extraction and text analysis › data annotation
LLM-based annotation |
0.9 | 1 | 2025 | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation · ACL (1) 2025 |
Machine learning › Efficient and distributed learning › distillation
teacher-student distillation |
0.9 | 1 | 2025 | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation · ACL (1) 2025 |
Methods — techniques the papers use, named apart from their topics
logic graph · 1.0large language model · 1.0prompt candidate generation · 0.9knowledge distillation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic GraphabstractLirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu, Bo Zheng, Haobo Wang, Junbo Zhao, Gang Chen, Sheng Guo. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026. Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang 0077, Yuke Zhu, Haobo Wang 0001, Junbo Zhao 0002, Gang Chen 0001 |
ACL (1) | 2 |
| 2025 | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data AnnotationabstractMingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Mingxuan Xia, Haobo Wang 0001, Yixuan Li 0001, Zewei Yu, Jindong Wang 0001, Junbo Zhao 0002, Runze Wu 0001 |
ACL (1) | 4 |