Výsledky vyhledávání - "Cho, Young‐Min"

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RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration

Autor: Cho, Young-Min, Shu, Raphael, Das, Nilaksh, Alkhouli, Tamer, Lai, Yi-An, Cai, Jason, Sunkara, Monica, Zhang, Yi

This study investigates the efficacy of Multi-Agent Systems in eliciting cross-agent communication and enhancing collective intelligence through group decision-making in a decentralized setting. Unlike centralized mechanisms, where a fixed hierarchy

Externí odkaz: http://arxiv.org/abs/2411.07161

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Building Knowledge-Guided Lexica to Model Cultural Variation

Autor: Havaldar, Shreya, Giorgi, Salvatore, Rai, Sunny, Cho, Young-Min, Talhelm, Thomas, Guntuku, Sharath Chandra, Ungar, Lyle

Cultural variation exists between nations (e.g., the United States vs. China), but also within regions (e.g., California vs. Texas, Los Angeles vs. San Francisco). Measuring this regional cultural variation can illuminate how and why people think and

Externí odkaz: http://arxiv.org/abs/2406.11622

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Studying Differential Mental Health Expressions in India

Autor: Shelat, Khushi, Rai, Sunny, Jain, Devansh R, Sivabalan, Kishen, Cho, Young Min, Redkar, Maitreyi, Sawant, Samindara, Guntuku, Sharath Chandra

Psychosocial stressors and the symptomatology of mental disorders vary across cultures. However, current understandings of mental health expressions on social media are predominantly derived from studies in WEIRD (Western, Educated, Industrialized, R

Externí odkaz: http://arxiv.org/abs/2402.11477

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Language-based Valence and Arousal Expressions between the United States and China: a Cross-Cultural Examination

Autor: Cho, Young-Min, Pang, Dandan, Thapa, Stuti, Sherman, Garrick, Ungar, Lyle, Tay, Louis, Guntuku, Sharath Chandra

While affective expressions on social media have been extensively studied, most research has focused on the Western context. This paper explores cultural differences in affective expressions by comparing valence and arousal on Twitter/X (geolocated t

Externí odkaz: http://arxiv.org/abs/2401.05254

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An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives

Autor: Cho, Young Min, Rai, Sunny, Ungar, Lyle, Sedoc, João, Guntuku, Sharath Chandra

Mental health conversational agents (a.k.a. chatbots) are widely studied for their potential to offer accessible support to those experiencing mental health challenges. Previous surveys on the topic primarily consider papers published in either compu

Externí odkaz: http://arxiv.org/abs/2310.17017

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Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches

Autor: Moon, Seong-Eun, Yoon, Ji Won, Joo, Shinyoung, Kim, Yoohyung, Bae, Jae Hyun, Yoon, Seokho, Yoo, Haanju, Cho, Young Min

Background: While deep learning technology, which has the capability of obtaining latent representations based on large-scale data, can be a potential solution for the discovery of a novel aging biomarker, existing deep learning methods for biologica

Externí odkaz: http://arxiv.org/abs/2302.00319

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Functional clustering methods for binary longitudinal data with temporal heterogeneity

Autor: Sohn, Jinwon, Jeong, Seonghyun, Cho, Young Min, Park, Taeyoung

In the analysis of binary longitudinal data, it is of interest to model a dynamic relationship between a response and covariates as a function of time, while also investigating similar patterns of time-dependent interactions. We present a novel gener

Externí odkaz: http://arxiv.org/abs/2210.10273

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