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cs.CL2024
CALICO: Conversational Agent Localization via Synthetic Data Generation
Andy Rosenbaum, Pegah Kharazmi, Ershad Banijamali +8
We present CALICO, a method to fine-tune Large Language Models (LLMs) to localize conversational agent training data from one language to another. For slots (named entities), CALIC…
cs.CL2023
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
Jixuan Wang, Martin Radfar, Kai Wei +1
It is challenging to extract semantic meanings directly from audio signals in spoken language understanding (SLU), due to the lack of textual information. Popular end-to-end (E2E)…