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

Dylan Zhou

dblp:418/1697 · 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
Learning paradigms · 50% Trustworthy machine learning · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms › continual learning › pre-trained model continual learning
continual knowledge adaptation		 1.012026
Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams · ACL (1) 2026
YearPublicationVenuePosition
2026 Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
abstract
Jiyeon Kim, Hyunji Lee, Dylan Zhou, Sue Hyun Park, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Sungmin Cha, Minjoon Seo. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Jiyeon Kim, Hyunji Lee, Dylan Zhou, Sue Hyun Park, Seunghyun Yoon 0002, Trung Bui, Franck Dernoncourt, Sungmin Cha, Minjoon Seo
 ACL (1)3