Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Fan, Lizhou"'
Autor:
Chen, Shan, Gao, Mingye, Sasse, Kuleen, Hartvigsen, Thomas, Anthony, Brian, Fan, Lizhou, Aerts, Hugo, Gallifant, Jack, Bitterman, Danielle
Background: Large language models (LLMs) are trained to follow directions, but this introduces a vulnerability to blindly comply with user requests even if they generate wrong information. In medicine, this could accelerate the generation of misinfor
Externí odkaz:
http://arxiv.org/abs/2409.20385
Autor:
Yu, Huizi, Zhou, Jiayan, Li, Lingyao, Chen, Shan, Gallifant, Jack, Shi, Anye, Li, Xiang, Hua, Wenyue, Jin, Mingyu, Chen, Guang, Zhou, Yang, Li, Zhao, Gupte, Trisha, Chen, Ming-Li, Azizi, Zahra, Zhang, Yongfeng, Assimes, Themistocles L., Ma, Xin, Bitterman, Danielle S., Lu, Lin, Fan, Lizhou
Simulated patient systems play a crucial role in modern medical education and research, providing safe, integrative learning environments and enabling clinical decision-making simulations. Large Language Models (LLM) could advance simulated patient s
Externí odkaz:
http://arxiv.org/abs/2409.18924
Autor:
Li, Lingyao, Hu, Songhua, Dai, Yinpei, Deng, Min, Momeni, Parisa, Laverghetta, Gabriel, Fan, Lizhou, Ma, Zihui, Wang, Xi, Ma, Siyuan, Ligatti, Jay, Hemphill, Libby
As urban populations grow, the need for accessible urban design has become urgent. Traditional survey methods for assessing public perceptions of accessibility are often limited in scope. Crowdsourcing via online reviews offers a valuable alternative
Externí odkaz:
http://arxiv.org/abs/2409.08459
Autor:
Li, Xiang, Fan, Lizhou, Wu, Hanbo, Chen, Kunping, Yu, Xiaoxiao, Che, Chao, Cai, Zhifeng, Niu, Xiuhong, Cao, Aihua, Ma, Xin
Autism Spectrum Disorder (ASD) is a rapidly growing neurodevelopmental disorder. Performing a timely intervention is crucial for the growth of young children with ASD, but traditional clinical screening methods lack objectivity. This study introduces
Externí odkaz:
http://arxiv.org/abs/2408.16924
Background: Online toxicity, encompassing behaviors such as harassment, bullying, hate speech, and the dissemination of misinformation, has become a pressing social concern in the digital age. The 2022 Mpox outbreak, initially termed "Monkeypox" but
Externí odkaz:
http://arxiv.org/abs/2408.11962
Autor:
Hua, Wenyue, Zhu, Kaijie, Li, Lingyao, Fan, Lizhou, Lin, Shuhang, Jin, Mingyu, Xue, Haochen, Li, Zelong, Wang, JinDong, Zhang, Yongfeng
This study intends to systematically disentangle pure logic reasoning and text understanding by investigating the contrast across abstract and contextualized logical problems from a comprehensive set of domains. We explore whether LLMs demonstrate ge
Externí odkaz:
http://arxiv.org/abs/2406.02787
Autor:
Li, Lingyao, Zhou, Jiayan, Gao, Zhenxiang, Hua, Wenyue, Fan, Lizhou, Yu, Huizi, Hagen, Loni, Zhang, Yongfeng, Assimes, Themistocles L., Hemphill, Libby, Ma, Siyuan
Electronic Health Records (EHRs) play an important role in the healthcare system. However, their complexity and vast volume pose significant challenges to data interpretation and analysis. Recent advancements in Artificial Intelligence (AI), particul
Externí odkaz:
http://arxiv.org/abs/2405.03066
Autor:
Lin, Shuhang, Hua, Wenyue, Li, Lingyao, Chang, Che-Jui, Fan, Lizhou, Ji, Jianchao, Hua, Hang, Jin, Mingyu, Luo, Jiebo, Zhang, Yongfeng
This paper presents BattleAgent, an emulation system that combines the Large Vision-Language Model and Multi-agent System. This novel system aims to simulate complex dynamic interactions among multiple agents, as well as between agents and their envi
Externí odkaz:
http://arxiv.org/abs/2404.15532
Autor:
Yu, Huizi, Fan, Lizhou, Li, Lingyao, Zhou, Jiayan, Ma, Zihui, Xian, Lu, Hua, Wenyue, He, Sijia, Jin, Mingyu, Zhang, Yongfeng, Gandhi, Ashvin, Ma, Xin
Large Language Models (LLMs) have rapidly become important tools in Biomedical and Health Informatics (BHI), enabling new ways to analyze data, treat patients, and conduct research. This study aims to provide a comprehensive overview of LLM applicati
Externí odkaz:
http://arxiv.org/abs/2403.16303
Autor:
Fan, Lizhou, Hua, Wenyue, Li, Xiang, Zhu, Kaijie, Jin, Mingyu, Li, Lingyao, Ling, Haoyang, Chi, Jinkui, Wang, Jindong, Ma, Xin, Zhang, Yongfeng
Understanding the reasoning capabilities of Multimodal Large Language Models (MLLMs) is an important area of research. In this study, we introduce a dynamic benchmark, NPHardEval4V, aimed at addressing the existing gaps in evaluating the pure reasoni
Externí odkaz:
http://arxiv.org/abs/2403.01777