6 citations · 14 across the 5 of their papers we have counts for
5 papers
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Xiaoding Lu, Zongyi Liu, Adian Liusie +4
In conversational AI research, there's a noticeable trend towards developing models with a larger number of parameters, exemplified by models like ChatGPT. While these expansive mo…
Social AI Improves Well-Being Among Female Young Adults
Ebony Zhang, Xiaoding Lu
The rise of language models like ChatGPT has introduced Social AI as a new form of entertainment, particularly among young adults who engage with AI-powered agents. This paper inve…
The Chai Platform's AI Safety Framework
Xiaoding Lu, Aleksey Korshuk, Zongyi Liu +1
Chai empowers users to create and interact with customized chatbots, offering unique and engaging experiences. Despite the exciting prospects, the work recognizes the inherent chal…
Safer Conversational AI as a Source of User Delight
Xiaoding Lu, Aleksey Korshuk, Zongyi Liu +2
This work explores the impact of moderation on users' enjoyment of conversational AI systems. While recent advancements in Large Language Models (LLMs) have led to highly capable c…
Rewarding Chatbots for Real-World Engagement with Millions of Users
Robert Irvine, Douglas Boubert, Vyas Raina +11
The emergence of pretrained large language models has led to the deployment of a range of social chatbots for chitchat. Although these chatbots demonstrate language ability and flu…