1 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler
Paramita Mirza, Viju Sudhi, Soumya Ranjan Sahoo +1
State-of-the-art intent classification (IC) and slot filling (SF) methods often rely on data-intensive deep learning models, limiting their practicality for industry applications.…
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models
Ken E. Friedl, Abbas Goher Khan, Soumya Ranjan Sahoo +3
The assessment of advanced generative large language models (LLMs) poses a significant challenge, given their heightened complexity in recent developments. Furthermore, evaluating…
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering
Md Rashad Al Hasan Rony, Christian Suess, Sinchana Ramakanth Bhat +6
Large language models (LLMs) have demonstrated remarkable performance by following natural language instructions without fine-tuning them on domain-specific tasks and data. However…