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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
Jul 2026

Blur-Resistant Hyperspectral Image Super-Resolution via Dual-Degradation Fusion Model

The deep unfolding network represents a promising research avenue in fusion-based hyperspectral image super-resolution (HSI-SR). However, most current deep unfolding methodologies are anchored in idealized observation models, which overlook the degradation of the multispectral image (MSI), hindering their SR performanc...

Mai Xu, Yong Dou, Xin Deng et al. · 0 citations

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