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pro vyhledávání: '"Kim, Young‐Ho"'
Autor:
Kim, Young Ho
In this paper, we study interior estimates for solutions to linearized Monge-Amp\`ere equations in divergence form with drift terms and the right-hand side containing the divergence of a bounded vector field. Equations of this type appear in the stud
Externí odkaz:
http://arxiv.org/abs/2405.11745
Autor:
Son, Kihoon, Kwon, Jinhyeon, Choi, DaEun, Kim, Tae Soo, Kim, Young-Ho, Yun, Sangdoo, Kim, Juho
With the advancement of Large-Language Models (LLMs) and Large Vision-Language Models (LVMs), agents have shown significant capabilities in various tasks, such as data analysis, gaming, or code generation. Recently, there has been a surge in research
Externí odkaz:
http://arxiv.org/abs/2405.04497
Autor:
Amadou, Abdoul Aziz, Singh, Vivek, Ghesu, Florin C., Kim, Young-Ho, Stanciulescu, Laura, Sai, Harshitha P., Sharma, Puneet, Young, Alistair, Rajani, Ronak, Rhode, Kawal
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures. However, using it effectively requires extensive training due to the intricate nature of image acquisition and interpretation. To
Externí odkaz:
http://arxiv.org/abs/2405.01409
As large language models (LLMs) advance to produce human-like arguments in some contexts, the number of settings applicable for human-AI collaboration broadens. Specifically, we focus on subjective decision-making, where a decision is contextual, ope
Externí odkaz:
http://arxiv.org/abs/2404.12558
Autor:
Kim, Young Ho
Singular fourth-order Abreu equations have been used to approximate minimizers of convex functionals subject to a convexity constraint in dimensions higher than or equal to two. For Abreu type equations, they often exhibit different solvability pheno
Externí odkaz:
http://arxiv.org/abs/2403.07852
Publikováno v:
In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11-16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA
Recent large language models (LLMs) offer the potential to support public health monitoring by facilitating health disclosure through open-ended conversations but rarely preserve the knowledge gained about individuals across repeated interactions. Au
Externí odkaz:
http://arxiv.org/abs/2402.11353
Autor:
Amadou, Abdoul Aziz, Peralta, Laura, Dryburgh, Paul, Klein, Paul, Petkov, Kaloian, Housden, Richard James, Singh, Vivek, Liao, Rui, Kim, Young-Ho, Ghesu, Florin Christian, Mansi, Tommaso, Rajani, Ronak, Young, Alistair, Rhode, Kawal
Ultrasound is well-established as an imaging modality for diagnostic and interventional purposes. However, the image quality varies with operator skills as acquiring and interpreting ultrasound images requires extensive training due to the imaging ar
Externí odkaz:
http://arxiv.org/abs/2402.06463
Autor:
Kim, Taewan, Bae, Seolyeong, Kim, Hyun Ah, Lee, Su-woo, Hong, Hwajung, Yang, Chanmo, Kim, Young-Ho
Publikováno v:
In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11-16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA
In the mental health domain, Large Language Models (LLMs) offer promising new opportunities, though their inherent complexity and low controllability have raised questions about their suitability in clinical settings. We present MindfulDiary, a mobil
Externí odkaz:
http://arxiv.org/abs/2310.05231
Designers rely on visual search to explore and develop ideas in early design stages. However, designers can struggle to identify suitable text queries to initiate a search or to discover images for similarity-based search that can adequately express
Externí odkaz:
http://arxiv.org/abs/2310.01287