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pro vyhledávání: '"Ma, ZIlin"'
Frontline humanitarian negotiators are increasingly exploring ways to use AI tools in their workflows. However, current AI-tools in negotiation primarily focus on outcomes, neglecting crucial aspects of the negotiation process. Through iterative co-d
Externí odkaz:
http://arxiv.org/abs/2410.09139
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 representations can be used by third parties with unknown objectives.
Externí odkaz:
http://arxiv.org/abs/2406.16698
Using Large Language Models for Humanitarian Frontline Negotiation: Opportunities and Considerations
Autor:
Ma, Zilin, Susannah, Su, Zhao, Nathan, Bieske, Linn, Bullwinkel, Blake, Zhang, Yanyi, Sophia, Yang, Luo, Ziqing, Li, Siyao, Liao, Gekai, Wang, Boxiang, Gao, Jinglun, Wen, Zihan, Bruderlein, Claude, Pan, Weiwei
Humanitarian negotiations in conflict zones, called \emph{frontline negotiation}, are often highly adversarial, complex, and high-risk. Several best-practices have emerged over the years that help negotiators extract insights from large datasets to n
Externí odkaz:
http://arxiv.org/abs/2405.20195
LGBTQ+ community face disproportionate mental health challenges, including higher rates of depression, anxiety, and suicidal ideation. Research has shown that LGBTQ+ people have been using large language model-based chatbots, such as ChatGPT, for the
Externí odkaz:
http://arxiv.org/abs/2405.04652
Autor:
Dubiel, Mateusz, Aylett, Matthew, Schmitt, Anuschka, Ma, Zilin, Hsieh, Gary, Wambsganss, Thiemo
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 only to goal oriented tasks (e.g., food ordering, online shopping) but
Externí odkaz:
http://arxiv.org/abs/2402.16592
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 these chatbots can adequately and safely provide tailored support for thi
Externí odkaz:
http://arxiv.org/abs/2402.09260
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 associated with their usage in such a critical field remain somewhat ambigu
Externí odkaz:
http://arxiv.org/abs/2307.15810
Autor:
Hu, Houyang, Yan, Jie, Zhu, Haijun, Wang, Xuechun, Zhao, Yilei, Li, Songyan, Ma, Zilin, Xu, Fenglei, Xia, Ming, Jiao, Jianwei, Zhao, Miaoqing, Zhang, Guiqiang
Publikováno v:
In Chemical Engineering Journal 1 December 2024 501
Publikováno v:
In Journal of Environmental Management 27 February 2024 353
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