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

David Rabinowitz

dblp:31/3404 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

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 · 100%

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

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › AI safety
guardrails		 1.012026
Domain Generalizable AI Guardrails with Augmented Policy Training · ACL (1) 2026

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

policy training · 1.0data augmentation · 1.0
YearPublicationVenuePosition
2026 Domain Generalizable AI Guardrails with Augmented Policy Training
abstract
Minqian Liu, Ioana Baldini, David Rabinowitz, David S Rosenberg, Sebastian Gehrmann, Mark Dredze. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Minqian Liu, Ioana Baldini, David Rabinowitz, David S. Rosenberg, Sebastian Gehrmann, Mark Dredze
 ACL (1)3