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Aman Taxali

dblp:410/4668 · 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 · 50% Knowledge representation and reasoning · 50%

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

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning
interpretability
1.012026
Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models · ACL (1) 2026
Knowledge, reasoning and agents › Knowledge representation and reasoning
semantic representation
1.012026
Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models · ACL (1) 2026

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

sparse autoencoder · 1.0feature coactivation · 1.0
YearPublicationVenuePosition
2026 Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models
abstract
Ruixuan Deng, Xiaoyang Hu, Miles Gilberti, Shane Storks, Aman Taxali, Mike Angstadt, Chandra Sripada, Joyce Chai. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Ruixuan Deng, Xiaoyang Hu, Miles Gilberti, Shane Storks, Aman Taxali, Michael Angstadt, Chandra Sekhar Sripada, Joyce Y. Chai
ACL (1)5