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20232026
most citedLarge Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages

1 citations · 2 across the 6 of their papers we have counts for

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cs.CV2025

Concepts in Motion: Temporal Concept Bottleneck Model for Interpretable Video Classification

Patrick Knab, Sascha Marton, Philipp J. Schubert +2

Concept Bottleneck Models (CBMs) enable interpretable image classification by structuring predictions around human-understandable concepts, but extending this paradigm to video rem…

cs.CL2025★ 1 cited

Large Language Models Share Representations of Latent Grammatical Concepts Across Typologically Diverse Languages

Jannik Brinkmann, Chris Wendler, Christian Bartelt +1

Human bilinguals often use similar brain regions to process multiple languages, depending on when they learned their second language and their proficiency. In large language models…