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Demo Data from VLDB 2026 / reviewers in the wild / expert

Shunlong Wu

dblp:407/9796 · 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
Efficient and distributed learning · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning › inference efficiency
context compression		 1.012026
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment · ACL (1) 2026

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

layer semantic alignment · 1.0group merging · 1.0
YearPublicationVenuePosition
2026 GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment
abstract
Jiwei Tang, Zhicheng Zhang, Shunlong Wu, Jingheng Ye, Lichen Bai, Zitai Wang, Tingwei Lu, Lin Hai, Yiming Zhao, Hai-Tao Zheng, Hong-Gee Kim. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Jiwei Tang, Zhicheng Zhang 0008, Shunlong Wu, Jingheng Ye, Lichen Bai, Zitai Wang, Tingwei Lu, Lin Hai, Hai-Tao Zheng 0002, Hong-Gee Kim
 ACL (1)3