2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Leveraging Information Retrieval to Enhance Spoken Language Understanding Prompts in Few-Shot Learning
Pierre Lepagnol, Sahar Ghannay, Thomas Gerald +2
Understanding user queries is fundamental in many applications, such as home assistants, booking systems, or recommendations. Accordingly, it is crucial to develop accurate Spoken…
cs.CL2021★ 2 cited
Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs
Hanane Djeddal, Thomas Gerald, Laure Soulier +2
In this work, our aim is to provide a structured answer in natural language to a complex information need. Particularly, we envision using generative models from the perspective of…