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cs.SD2026
Pruning for Efficiency, Paying in Fairness: Demographic Disparities in Pruned Speech-LLMs
Ganesh Pavan Kartikeya Bharadwaj Kolluri, Michael Kampouridis, Ravi Shekhar
Speech-LLMs are expensive to run, making compression important for real-world deployment. However, compressed models are usually selected using aggregate word error rate (WER), whi…
cs.SD2026
CARD: Cross-component Audio Representation Distillation for Encoder-Free Audio Captioning
Ganesh Pavan Kartikeya Bharadwaj Kolluri, Yuchen Zhang, Michael Kampouridis +1
Modern automated audio captioning systems pair a frozen audio encoder with a large language model (LLM) via a trainable projector, incurring the encoder's inference cost and bottle…