Zobrazeno 1 - 10
of 3 047
pro vyhledávání: '"Xuhai, Be"'
Autor:
He, Zihong, Lin, Weizhe, Zheng, Hao, Zhang, Fan, Jones, Matt, Aitchison, Laurence, Xu, Xuhai, Liu, Miao, Kristensson, Per Ola, Shen, Junxiao
With the rapid advancement of AI systems, their abilities to store, retrieve, and utilize information over the long term - referred to as long-term memory - have become increasingly significant. These capabilities are crucial for enhancing the perfor
Externí odkaz:
http://arxiv.org/abs/2411.00489
Autor:
Kim, Yubin, Park, Chanwoo, Jeong, Hyewon, Grau-Vilchez, Cristina, Chan, Yik Siu, Xu, Xuhai, McDuff, Daniel, Lee, Hyeonhoon, Ghassemi, Marzyeh, Breazeal, Cynthia, Park, Hae Won
Medical Decision-Making (MDM) is a multi-faceted process that requires clinicians to assess complex multi-modal patient data patient, often collaboratively. Large Language Models (LLMs) promise to streamline this process by synthesizing vast medical
Externí odkaz:
http://arxiv.org/abs/2411.00248
Autor:
Narayanswamy, Girish, Liu, Xin, Ayush, Kumar, Yang, Yuzhe, Xu, Xuhai, Liao, Shun, Garrison, Jake, Tailor, Shyam, Sunshine, Jake, Liu, Yun, Althoff, Tim, Narayanan, Shrikanth, Kohli, Pushmeet, Zhan, Jiening, Malhotra, Mark, Patel, Shwetak, Abdel-Ghaffar, Samy, McDuff, Daniel
Wearable sensors have become ubiquitous thanks to a variety of health tracking features. The resulting continuous and longitudinal measurements from everyday life generate large volumes of data; however, making sense of these observations for scienti
Externí odkaz:
http://arxiv.org/abs/2410.13638
Smartphone users often regret aspects of their phone use, but pinpointing specific ways in which the design of an interface contributes to regrettable use can be challenging due to the complexity of app features and user intentions. We conducted a on
Externí odkaz:
http://arxiv.org/abs/2410.11354
Natural Language Processing (NLP) techniques have been increasingly integrated into clinical projects to advance clinical decision-making and improve patient outcomes. Such projects benefit from interdisciplinary team collaborations. This paper explo
Externí odkaz:
http://arxiv.org/abs/2410.00174
Autor:
Liu, Jiaying Lizzy, Wang, Yunlong, Lyu, Yao, Su, Yiheng, Niu, Shuo, Xu, Xuhai Orson, Zhang, Yan
Despite the growing interest in leveraging Large Language Models (LLMs) for content analysis, current studies have primarily focused on text-based content. In the present work, we explored the potential of LLMs in assisting video content analysis by
Externí odkaz:
http://arxiv.org/abs/2406.19528
Large language models (LLMs) are already being piloted for clinical use in hospital systems like NYU Langone, Dana-Farber and the NHS. A proposed deployment use case is psychotherapy, where a LLM-powered chatbot can treat a patient undergoing a menta
Externí odkaz:
http://arxiv.org/abs/2405.12021
Autor:
Wang, Zeyu, Shi, Yuanchun, Wang, Yuntao, Yao, Yuchen, Yan, Kun, Wang, Yuhan, Ji, Lei, Xu, Xuhai, Yu, Chun
Modern information querying systems are progressively incorporating multimodal inputs like vision and audio. However, the integration of gaze -- a modality deeply linked to user intent and increasingly accessible via gaze-tracking wearables -- remain
Externí odkaz:
http://arxiv.org/abs/2405.07652
Autor:
Kim, Yubin, Park, Chanwoo, Jeong, Hyewon, Chan, Yik Siu, Xu, Xuhai, McDuff, Daniel, Lee, Hyeonhoon, Ghassemi, Marzyeh, Breazeal, Cynthia, Park, Hae Won
Foundation models are becoming valuable tools in medicine. Yet despite their promise, the best way to leverage Large Language Models (LLMs) in complex medical tasks remains an open question. We introduce a novel multi-agent framework, named Medical D
Externí odkaz:
http://arxiv.org/abs/2404.15155
Autor:
Zhang, Han, Swain, Vedant Das, Wang, Leijie, Gao, Nan, Sheng, Yilun, Xu, Xuhai, Salim, Flora D., Saha, Koustuv, Dey, Anind K., Mankoff, Jennifer
Behavioral sensing technologies are rapidly evolving across a range of well-being applications. Despite its potential, concerns about the responsible use of such technology are escalating. In response, recent research within the sensing technology ha
Externí odkaz:
http://arxiv.org/abs/2404.14665