AI Chatbots
AI chatbots, powered primarily by large language models (LLMs) like GPT and LLaMA, aim to create conversational agents capable of engaging in natural and informative dialogue. Current research focuses on improving chatbot performance in specific domains, such as healthcare (for patient support and clinical decision-making) and industrial settings (for information retrieval from technical documents), while also addressing challenges like bias, safety, and reliability. These advancements hold significant potential for various applications, including enhancing access to healthcare, optimizing industrial processes, and transforming education, but require careful consideration of ethical implications and rigorous validation to ensure responsible deployment.
Papers
Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4
Ting Fang Tan, Kabilan Elangovan, Liyuan Jin, Yao Jie, Li Yong, Joshua Lim, Stanley Poh, Wei Yan Ng, Daniel Lim, Yuhe Ke, Nan Liu, Daniel Shu Wei Ting
AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
Ashfak Md Shibli, Mir Mehedi A. Pritom, Maanak Gupta
"ChatGPT, a Friend or Foe for Education?" Analyzing the User's Perspectives on the Latest AI Chatbot Via Reddit
Forhan Bin Emdad, Benhur Ravuri, Lateef Ayinde, Mohammad Ishtiaque Rahman
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li