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Author

Yen-Ting Piao

2 papers indexed here

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#artificial intelligence Preprint Mar 2026

When Demonstrations Fail: Diagnosing the Limits of In-Context Learning in Large Audio-Language Models with Progressive Cue Removal

A three-stage evaluation pipeline is designed that progressively reduces textual guidance to systematically evaluate LALMs' in-context learning ability in the audio modality, uncovering a consistent asymmetry across LALMs.

Yen-Ting Piao, Jay Chiehen Liao, W. Chien et al. · 1 citation
#artificial intelligence Preprint Sep 2026

Tri-PvP: Exposing Modality Bias in Omni-Modal Large Language Models through Perceptual-Propositional Evidence Conflicts

Tri-PvP, an 8,000-sample tri-modal conflict benchmark crossing vision, audio, and text, is introduced, revealing a systematic asymmetry in evidence-form bias: models exhibit a stronger bias toward perceptual signal in vision but propositional in audio.

Yen-Ting Piao, Shu-Yun Chen, Chin-Hui Chu et al. · 0 citations

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