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cs.CL2026
ALAS: An Automatic Latent Alignment Score for Audio Language Models
Pooneh Mousavi, Yingzhi Wang, Mirco Ravanelli +1
Large Language Models (LLMs) are extended into Speech-LLMs, and the quality of the audio--text alignment they learn affects most downstream Spoken Language Understanding (SLU) beha…
cs.CL2024
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
Fırat Ãncel, Matthias Bethge, Beyza Ermis +3
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional d…