Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Hao, Yuexing"'
Autor:
Hao, Yuexing, Holmes, Jason, Waddle, Mark, Yu, Nathan, Vickers, Kirstin, Preston, Heather, Margolin, Drew, Löckenhoff, Corinna E., Vashistha, Aditya, Ghassemi, Marzyeh, Kalantari, Saleh, Liu, Wei
Cancer patients often struggle to transition swiftly to treatment due to limited institutional resources, lack of sophisticated professional guidance, and low health literacy. The emergence of Large Language Models (LLMs) offers new opportunities for
Externí odkaz:
http://arxiv.org/abs/2409.19100
Autor:
Hao, Yuexing, Holmes, Jason M., Hobson, Jared, Bennett, Alexandra, Ebner, Daniel K., Routman, David M., Shiraishi, Satomi, Patel, Samir H., Yu, Nathan Y., Hallemeier, Chris L., Ball, Brooke E., Waddle, Mark R., Liu, Wei
In-basket message interactions play a crucial role in physician-patient communication, occurring during all phases (pre-, during, and post) of a patient's care journey. However, responding to these patients' inquiries has become a significant burden
Externí odkaz:
http://arxiv.org/abs/2409.18290
At present, the quantification methods of neural network models are mainly divided into post-training quantization (PTQ) and quantization aware training (QAT). Post-training quantization only need a small part of the data to complete the quantificati
Externí odkaz:
http://arxiv.org/abs/2207.03088
The recommendation system, relying on historical observational data to model the complex relationships among the users and items, has achieved great success in real-world applications. Selection bias is one of the most important issues of the existin
Externí odkaz:
http://arxiv.org/abs/2201.04952
Publikováno v:
In Neurocomputing 28 December 2024 610
Publikováno v:
In Expert Systems With Applications 10 December 2024 257
Sequential recommendation aims to choose the most suitable items for a user at a specific timestamp given historical behaviors. Existing methods usually model the user behavior sequence based on the transition-based methods like Markov Chain. However
Externí odkaz:
http://arxiv.org/abs/2111.07378
Autor:
Chen, Li, Fei, Yue, Quan, Bin, Hao, Yuexing, Chen, Qinqun, Liu, Guiqing, Luo, Xiaomu, Li, Li, Wei, Hang
Publikováno v:
In Biomedical Signal Processing and Control August 2024 94
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part C
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e.g., operator, string, etc. However, introducing the type information into the existing fram
Externí odkaz:
http://arxiv.org/abs/2005.02835