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cs.CL2025
Joint Speech and Text Training for LLM-Based End-to-End Spoken Dialogue State Tracking
Katia Vendrame, Bolaji Yusuf, Santosh Kesiraju +3
End-to-end spoken dialogue state tracking (DST) is made difficult by the tandem of having to handle speech input and data scarcity. Combining speech foundation encoders and large l…
cs.CL2025
Robustness assessment of large audio language models in multiple-choice evaluation
Fernando López, Santosh Kesiraju, Jordi Luque
Recent advances in large audio language models (LALMs) have primarily been assessed using a multiple-choice question answering (MCQA) framework. However, subtle changes, such as sh…