Papers by Gail Rosen

2 papers
Visual Interference in Speech Evaluation: Cultural Asymmetry and Cross-Modal Bias in MLLMs (2026.findings-acl)

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Challenge: a new paradigm shifts the paradigm of speech processing from simple transcription to complex social reasoning.
Approach: They construct a cross-modal dataset to examine cultural asymmetry in MLLMs . they find that ML models actively reproduce context-dependent sociolinguistic ideologies based on native audio .
Outcome: The proposed model exhibits cultural asymmetry in anglophone and Korean contexts . the model reproduces sociolinguistic ideologies, consistent with Expectancy Violation Theory .
CliniCAST: Benchmarking Acoustic Grounding and Text Dominance in Medical Triage (2026.findings-acl)

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Challenge: Recent Large Audio-Language Models (LALMs) integrate acoustic capabilities into reasoning, yet whether they reliably ground clinical judgments in audible evidence remains unproven.
Approach: They propose a benchmark that disentangles clinically meaningful acoustic cues from lexical content and speaker demographics.
Outcome: Evaluating 5,856 synthetic samples across 12 disease conditions, the proposed model exhibits fragile acoustic grounding and pronounced "text dominance" failure mode.

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