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

Rohit Patki

dblp:390/3541 · 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 · 77% Language models and text generation · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning › inference efficiency
context compression		 1.012026
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs · ACL (1) 2026

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

attention mechanism · 1.0
YearPublicationVenuePosition
2026 Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs
abstract
Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Shenglai Zeng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo 0003, Monica Xiao Cheng, Hui Liu 0031
 ACL (1)8