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Showing papers from University of California Los Angeles Show all papers

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A Mechanistic Investigation of Theory of Mind in a Large Language Model

Idil K Sahin, Steven M Frankland, Taylor Webb

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 2/10
strict 0/5
76%Highly rated
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Binding Visual Features Point by Point

Pointing via text induces internal visual search routines that eliminate binding errors, enabling compositional generalization and solving vision-language binding via serial processing.

Udith Haputhanthri, Declan Campbell, Rim Assouel, Jonathan D Cohen and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
80%Must read
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Attention Alignment Between Humans and Vision-Language Models

Vision-language model decoder architecture dominates human attention alignment, with LSTM decoders reaching 85, 87% of the human noise ceiling but remaining diffuse, while transformer decoders show sharper task differentiation despite lower alignment; encoder effects are secondary and neural predict

Isaac Christian, Udith Haputhanthri, Declan Campbell, Samuel Nastase and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 3/5