Papers by Paraskevas Stamatiadis

1 papers
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models (2025.emnlp-main)

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Challenge: Contrastive language-audio pretraining models learn by aligning audio and text in a shared embedding space.
Approach: They propose a framework that integrates knowledge graphs with audio-language models to provide robust semantic grounding.
Outcome: iKnow-audio improves disambiguation of acoustically similar sounds and reduces prompt engineering.

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