Papers by Youchao Zhou

2 papers
Pardon? Evaluating Conversational Repair in Large Audio-Language Models (2026.findings-acl)

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Challenge: Existing evaluations of large audio-language models focus on answer accuracy and robustness to acoustic perturbations, but they assume that inputs remain semantically answerable.
Approach: They propose a repair-aware evaluation setting that explicitly distinguishes between answerable and unanswerable audio inputs.
Outcome: The proposed evaluation setting distinguishes between answerable and unanswerable audio inputs.
Would LLMs be Good Historical Linguists and Chinese Dialect Learners? (2026.acl-long)

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Challenge: Large language models struggle with low-resource Chinese dialects due to substantial phonological divergence.
Approach: They propose to incorporate Middle Chinese, the common historical ancestor of modern Chinese dialects, into LLMs to improve dialectal pronunciation modeling.
Outcome: The proposed approach improves on standard Chinese but struggles with low-resource Chinese dialects . the proposed model improves over baselines while revealing variation across dialects.

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