66 citations · 102 across the 3 of their papers we have counts for
3 papers
cs.HC2024
"ChatGPT, Don't Tell Me What to Do": Designing AI for Context Analysis in Humanitarian Frontline Negotiations
ZIlin Ma, Yiyang Mei, Claude Bruderlein +2
Frontline humanitarian negotiators are increasingly exploring ways to use AI tools in their workflows. However, current AI-tools in negotiation primarily focus on outcomes, neglect…
cs.HC2024
AffirmativeAI: Towards LGBTQ+ Friendly Audit Frameworks for Large Language Models
Yinru Long, Zilin Ma, Yiyang Mei +1
LGBTQ+ community face disproportionate mental health challenges, including higher rates of depression, anxiety, and suicidal ideation. Research has shown that LGBTQ+ people have be…
cs.HC2024★ 66 cited
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…