activity
20212023
most citedRethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?

5 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2023★ 5 cited

Rethinking Machine Ethics -- Can LLMs Perform Moral Reasoning through the Lens of Moral Theories?

Jingyan Zhou, Minda Hu, Junan Li +4

Making moral judgments is an essential step toward developing ethical AI systems. Prevalent approaches are mostly implemented in a bottom-up manner, which uses a large set of annot…

cs.CL2023★ 2 cited

SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting

Xiaoying Zhang, Baolin Peng, Kun Li +2

Building end-to-end task bots and maintaining their integration with new functionalities using minimal human efforts is a long-standing challenge in dialog research. Recently large…

cs.CY2023

Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom

Hang Su, Borislav Dzodzo, Changlun Li +5

The flipped classroom is a new pedagogical strategy that has been gaining increasing importance recently. Spoken discussion dialog commonly occurs in flipped classroom, which embed…

cs.HC2022

TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening

Zijian Ding, Jiawen Kang, Tinky Oi Ting HO +4

Conversational agents (CAs) have the great potential in mitigating the clinicians' burden in screening for neurocognitive disorders among older adults. It is important, therefore,…

cs.CL2022

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems

Yang Deng, Wenxuan Zhang, Wai Lam +2

User Satisfaction Estimation (USE) is an important yet challenging task in goal-oriented conversational systems. Whether the user is satisfied with the system largely depends on th…

cs.CL2022

Toward Self-learning End-to-End Task-Oriented Dialog Systems

Xiaoying Zhang, Baolin Peng, Jianfeng Gao +1

End-to-end task bots are typically learned over a static and usually limited-size corpus. However, when deployed in dynamic, changing, and open environments to interact with users,…

cs.AI2021

Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum

Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai +3

Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created an AI curriculum for pre-tertiary education and evaluated its…