Author

Pooneh Mousavi

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#machine learning Preprint Sep 2026

AnchorPrompt: Self-Distilled Soft Prompts for Robust Audio-Language Models

Large audio-language models (LALMs) are sensitive to input perturbations, such as noise, waveform corruption, and adversarial injections. We propose AnchorPrompt, an efficient adaptation method that keeps the model frozen and learns a single block of prompt vectors inserted at the decoder input, between the audio and q...

Pooneh Mousavi, Amir Ivry, M. Ravanelli et al. · 0 citations

#natural language process... Preprint Aug 2026

Enhancing Audio Reasoning via Semantic Summary Prediction

Large Audio Language Models (LALMs) perform well on complex question answering but often show a reasoning gap, where explicit Chain-of-Thought (CoT) reduces accuracy compared to direct answers. We hypothesize that long reasoning sequences shift attention away from the audio input. To address this, we propose SPARE (Sem...

Francesco Bonzi, Pooneh Mousavi, Cem Subakan et al. · 1 citation