Conversational AI

Conversational AI aims to create systems capable of engaging in natural, human-like dialogues, focusing on improving understanding, response generation, and safety. Current research heavily utilizes large language models (LLMs), often incorporating techniques like prompt engineering, fine-tuning, and multi-modal integration (combining text, images, and audio) to enhance performance and address limitations such as bias and factual inaccuracies. This field is significant due to its potential to revolutionize various sectors, including healthcare (e.g., patient engagement, risk assessment), education (e.g., tutoring systems), and creative industries (e.g., content generation, design assistance), while also raising crucial ethical considerations regarding transparency, safety, and bias mitigation.

Papers