Author

Yulin Sun

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Preprint Oct 2026

DF-PALM: Dynamic Fusion Prompt Learning for Audio--Language Models

Few-shot audio classification requires audio--language models to distinguish variable acoustic events from limited labeled data. PALM's main formulation adapts encoded class representations without changing pretrained encoders, but its class representations remain input-independent and classification uses audio feature...

Yu-Lin Sun, Sheng-Hua Li, Yong Dou et al. · 0 citations

#machine learning Preprint Oct 2026

Selective Listening: Mechanism-Guided Control of Audio Influence in Large Audio-Language Models

Large audio-language models (LALMs) exploit multimodal evidence, yet task-irrelevant audio can alter text-reasoning decisions when listening is unnecessary. Aggregate Accuracy can hide this paired drift because audio-induced repairs and damages may cancel. Paired drift analysis and targeted interventions identify archi...

Yu-Lin Sun, Ke-Le Xu, Yong Dou · 0 citations

Review Jul 2026

From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning

This paper examines audio self-supervised learning through the alignment between pretraining objectives, architectural inductive biases, and downstream applications, and relates these demands to the biases of CNNs, recurrent and State Space Models, Transformers, and hybrid architectures.

Kele Xu, Yu Fang, Boda Zhou et al. · 0 citations