Abstract: We propose a diversified prompting strategy to address the challenges of slot filling with Large Language Models (LLMs), where recall often suffers from prediction omissions and precision ...

Abstract: Deep learning-based recommender systems are widely utilised in domains such as e-commerce. Yet there are limited studies that explore recommendation systems for expert and speciality needs ...