Zobrazeno 1 - 10
of 42
pro vyhledávání: '"WU, Jiageng"'
Autor:
Wang, Zeqiang, Wu, Jiageng, Wang, Yuqi, Wang, Wei, Yang, Jie, Johnson, Jon, Sastry, Nishanth, De, Suparna
Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'unconstrained' behavior of people interacting on these platforms. However, s
Externí odkaz:
http://arxiv.org/abs/2410.08352
Accurate and transparent financial information disclosure is crucial in the fields of accounting and finance, ensuring market efficiency and investor confidence. Among many information disclosure platforms, the Chinese stock exchanges' investor inter
Externí odkaz:
http://arxiv.org/abs/2406.12009
In this paper, we propose a multi-input multi-output transmit beamforming optimization model for joint radar sensing and multi-user communications, where the design of the beamformers is formulated as an optimization problem whose objective is a weig
Externí odkaz:
http://arxiv.org/abs/2404.00055
With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice questions. However, the application of LLMs in medical dialogue generation
Externí odkaz:
http://arxiv.org/abs/2403.06611
Clinical reasoning refers to the cognitive process that physicians employ in evaluating and managing patients. This process typically involves suggesting necessary examinations, diagnosing patients' diseases, and deciding on appropriate therapies, et
Externí odkaz:
http://arxiv.org/abs/2403.06609
In this paper, we propose a multi-input multi-output beamforming transmit optimization model for joint radar sensing and multi-user communications, where the design of the beamformers is formulated as an optimization problem whose objective is a weig
Externí odkaz:
http://arxiv.org/abs/2309.06674
Autor:
Hua, Yining, Wu, Jiageng, Lin, Shixu, Li, Minghui, Zhang, Yujie, Foer, Dinah, Wang, Siwen, Zhou, Peilin, Yang, Jie, Zhou, Li
Objective: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial medical diction
Externí odkaz:
http://arxiv.org/abs/2306.16001
Autor:
Wu, Jiageng, Wu, Xian, Qiu, Zhaopeng, Li, Minghui, Zhang, Yingying, Zheng, Yefeng, Yuan, Changzheng, Yang, Jie
$\textbf{Objectives}$: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings, primarily due to
Externí odkaz:
http://arxiv.org/abs/2305.10163
Publikováno v:
WWW '23: Proceedings of the ACM Web Conference 2023
The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing about the impact of COVID-19 on the mental health of infected individuals,
Externí odkaz:
http://arxiv.org/abs/2302.12044
Autor:
Zeng, Qingcheng, Garay, Lucas, Zhou, Peilin, Chong, Dading, Hua, Yining, Wu, Jiageng, Pan, Yikang, Zhou, Han, Voigt, Rob, Yang, Jie
Large pre-trained models have revolutionized natural language processing (NLP) research and applications, but high training costs and limited data resources have prevented their benefits from being shared equally amongst speakers of all the world's l
Externí odkaz:
http://arxiv.org/abs/2211.06993