66 citations · 105 across the 4 of their papers we have counts for
4 papers
Learning Interpretable Fair Representations
Tianhao Wang, Zana Buçinca, Zilin Ma
Numerous approaches have been recently proposed for learning fair representations that mitigate unfair outcomes in prediction tasks. A key motivation for these methods is that the…
Speech as Interactive Design Material (SIDM): How to design and evaluate task-tailored synthetic voices?
Mateusz Dubiel, Matthew Aylett, Anuschka Schmitt +3
The aim of this workshop is two-fold. First, it aims to establish a research community focused on design and evaluation of synthetic speech (TTS) interfaces that are tailored not o…
Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support
Zilin Ma, Yiyang Mei, Yinru Long +2
LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) to meet their mental health needs. However, little research has explored whether the…
Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
Zilin Ma, Yiyang Mei, Zhaoyuan Su
Conversational agents powered by large language models (LLM) have increasingly been utilized in the realm of mental well-being support. However, the implications and outcomes assoc…