most citedEvaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing eess.ASShow all

2 papers · 1 filter

eess.AS2024

WHISMA: A Speech-LLM to Perform Zero-shot Spoken Language Understanding

Mohan Li, Cong-Thanh Do, Simon Keizer +3

Speech large language models (speech-LLMs) integrate speech and text-based foundation models to provide a unified framework for handling a wide range of downstream tasks. In this p…

eess.AS2024

Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding

Mohan Li, Simon Keizer, Rama Doddipatla

Zero-shot spoken language understanding (SLU) enables systems to comprehend user utterances in new domains without prior exposure to training data. Recent studies often rely on lar…