2 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
Tug of Watts: A study on the Energy - Accuracy Trade-off of Large Language Models on Medical Question Answering Tasks
Viju Sudhi, Giulio Billi, Andreea Scrob +2
Large Language Models (LLMs) are increasingly used in medical question answering (QA) systems. While recent works aim at incrementally improving the downstream task accuracy, an em…
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.…
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…