EMNLP 2026 paper exposes hidden representational instability in VLMs
PMinervini · x · 2026-10-25
Fazl Barez announced that collaborators will present the paper "Same Answer, Different Representations: Hidden Instability in VLMs" at EMNLP 2026, examining how vision-language models can produce identical answers while their internal representations differ — an interpretability and AI safety angle.
The author also recommended meeting researchers in interpretability and AI safety at the conference, name-dropping several prominent figures in the community.
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