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20222026
most citedLearning from Red Teaming: Gender Bias Provocation and Mitigation in Large Language Models

1 citations · 2 across the 11 of their papers we have counts for

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cs.SD2026

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

Yen-Ting Piao, Jay Chiehen Liao, Wei-Tang Chien +5

While Large Audio-Language Models (LALMs) have been shown to exhibit degraded instruction-following capabilities, their ability to infer task patterns from in-context examples with…

cs.SD2026

Latent-Mark: An Audio Watermark Robust to Neural Codec Compression

Yen-Shan Chen, Shih-Yu Lai, Ying-Jung Tsou +5

While existing audio watermarking techniques have achieved strong robustness against traditional digital signal processing (DSP) attacks, they remain vulnerable to neural compressi…