Zobrazeno 1 - 10
of 2 229
pro vyhledávání: '"Qiang Yao"'
Autor:
Roshani, Mohammad Amin, Zhou, Xiangyu, Qiang, Yao, Suresh, Srinivasan, Hicks, Steve, Sethuraman, Usha, Zhu, Dongxiao
Large language models (LLMs) have shown remarkable capabilities in various natural language tasks and are increasingly being applied in healthcare domains. This work demonstrates a new LLM-powered disease risk assessment approach via streaming human-
Externí odkaz:
http://arxiv.org/abs/2409.15027
Autor:
Qiang, Yao, Nandi, Subhrangshu, Mehrabi, Ninareh, Steeg, Greg Ver, Kumar, Anoop, Rumshisky, Anna, Galstyan, Aram
Large language models (LLMs) have demonstrated impressive performance on a number of natural language processing tasks, such as question answering and text summarization. However, their performance on sequence labeling tasks such as intent classifica
Externí odkaz:
http://arxiv.org/abs/2402.15833
Autor:
Qiang, Yao, Zhou, Xiangyu, Zade, Saleh Zare, Roshani, Mohammad Amin, Zytko, Douglas, Zhu, Dongxiao
The advent of Large Language Models (LLMs) has marked significant achievements in language processing and reasoning capabilities. Despite their advancements, LLMs face vulnerabilities to data poisoning attacks, where adversaries insert backdoor trigg
Externí odkaz:
http://arxiv.org/abs/2402.13459
Autor:
Khanduri, Prashant, Li, Chengyin, Sultan, Rafi Ibn, Qiang, Yao, Kliewer, Joerg, Zhu, Dongxiao
Recently, compositional optimization (CO) has gained popularity because of its applications in distributionally robust optimization (DRO) and many other machine learning problems. Large-scale and distributed availability of data demands the developme
Externí odkaz:
http://arxiv.org/abs/2311.12652
In-context learning (ICL) has emerged as a powerful paradigm leveraging LLMs for specific downstream tasks by utilizing labeled examples as demonstrations (demos) in the precondition prompts. Despite its promising performance, ICL suffers from instab
Externí odkaz:
http://arxiv.org/abs/2311.09948
Vision Transformers (ViTs) have become prominent models for solving various vision tasks. However, the interpretability of ViTs has not kept pace with their promising performance. While there has been a surge of interest in developing {\it post hoc}
Externí odkaz:
http://arxiv.org/abs/2309.08035
Autor:
Li, Chengyin, Khanduri, Prashant, Qiang, Yao, Sultan, Rafi Ibn, Chetty, Indrin, Zhu, Dongxiao
Segment Anything Model (SAM) is one of the pioneering prompt-based foundation models for image segmentation and has been rapidly adopted for various medical imaging applications. However, in clinical settings, creating effective prompts is notably ch
Externí odkaz:
http://arxiv.org/abs/2308.14936
Autor:
Kai Qi, Hao Qi, Muhan Wang, Xiaoyue Ma, Yan Wang, Qiang Yao, Wenliang Liu, Yurong Zhao, Jiqian Wang, Yuefei Wang, Wei Qi, Jun Zhang, Jian R. Lu, Hai Xu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Although hydrophobic interactions provide the main driving force for initial peptide aggregation, their role in regulating suprastructure handedness of higher-order architectures remains largely unknown. We here interrogate the effects of hy
Externí odkaz:
https://doaj.org/article/5763b354ed4c49e7b5d776d13285b645
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background This study addresses the scarcity of research on nausea and vomiting in pregnancy (NVP) in China. It aims to explore the current NVP status in the country using validated questionnaires, analyze associated factors, and provide a u
Externí odkaz:
https://doaj.org/article/9c47390377594e27ad7e30671bda9632
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-19 (2024)
Abstract A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the oscillation problem caused by new energy units. By simulating the characteristics of synchro
Externí odkaz:
https://doaj.org/article/8cb5b8c2a6cb4290a9abe23b61acb409