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

Long Bai 0015

dblp:426/7302 · 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
Trustworthy machine learning · 87% Language models and text generation · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › machine unlearning
LLM unlearning		 1.012026
Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning · ACL (1) 2026
Machine learning › Trustworthy machine learning
machine unlearning		 1.012026
Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning · ACL (1) 2026

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

entropy maximization · 1.0
YearPublicationVenuePosition
2026 Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning
abstract
Naixin Zhai, Pengyang Shao, Binbin Zheng, Yonghui Yang, Fei Shen, Long Bai, Xun Yang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Naixin Zhai, Pengyang Shao, Yonghui Yang 0001, Fei Shen 0004, Long Bai 0015, Xun Yang 0001
 ACL (1)6