Zobrazeno 1 - 10
of 12 078
pro vyhledávání: '"Shieh P"'
Autor:
Fischer R, Furlong P, Kennedy A, Maynard K, Penrod M, Miller D, Laverty CG, Lowes LP, Kuntz NL, Shieh PB, Kondejewski J, Neumann PJ, Shafrin J, Willke RJ
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 17, Pp 4199-4212 (2024)
Ryan Fischer,1 Pat Furlong,1 Annie Kennedy,2 Kelly Maynard,3,4 Marissa Penrod,4,5 Debra Miller,6 Chamindra G Laverty,7 Linda P Lowes,8,9 Nancy L Kuntz,10,11 Perry B Shieh,12 Jane Kondejewski,13 Peter J Neumann,14 Jason Shafrin,15 Richard J Willke16 1
Externí odkaz:
https://doaj.org/article/e020e2a2bec64d5883f76a17bc62a743
Experience and Perspectives in the US on the Evolving Treatment Landscape in Spinal Muscular Atrophy
Publikováno v:
International Journal of General Medicine, Vol Volume 15, Pp 7341-7353 (2022)
Leigh Ramos-Platt,1 Lauren Elman,2 Perry B Shieh3 1Department of Pediatrics, Keck School of Medicine, University of Southern California and Children’s Hospital of Los Angeles, Los Angeles, CA, USA; 2Department of Neurology, University of Pennsylvan
Externí odkaz:
https://doaj.org/article/2cab23da35ab4893835951adc52cfcb5
Language Language Models (LLMs) face safety concerns due to potential misuse by malicious users. Recent red-teaming efforts have identified adversarial suffixes capable of jailbreaking LLMs using the gradient-based search algorithm Greedy Coordinate
Externí odkaz:
http://arxiv.org/abs/2408.14866
Autor:
Liu, Xiangyan, Lan, Bo, Hu, Zhiyuan, Liu, Yang, Zhang, Zhicheng, Wang, Fei, Shieh, Michael, Zhou, Wenmeng
Large Language Models (LLMs) excel in stand-alone code tasks like HumanEval and MBPP, but struggle with handling entire code repositories. This challenge has prompted research on enhancing LLM-codebase interaction at a repository scale. Current solut
Externí odkaz:
http://arxiv.org/abs/2408.03910
Autor:
Dhami, N. S., Balédent, V., Batistić, I., Bednarchuk, O., Kaczorowski, D., Itié, J. P., Shieh, S. R., Kumar, C. M. N., Utsumi, Y.
Antiferromagnetic intermetallic compound EuRhGe3 crystalizes in a non-centrosymmetric BaNiSn3-type (I4mm) structure. We studied its pressure-dependent crystal structure by using synchrotron powder x-ray diffraction at room temperature. Our results sh
Externí odkaz:
http://arxiv.org/abs/2408.00410
Autor:
Shieh, Chung-Tsun, Tsai, Tzong-Mo
This research was devoted to investigate the inverse spectral problem of Sturm-Liouville operator with many frozen arguments. Under some assumptions, the authors obtained uniqueness theorems. At the end, a numerical simulation for the inverse problem
Externí odkaz:
http://arxiv.org/abs/2407.14889
When LLMs are deployed in sensitive, human-facing settings, it is crucial that they do not output unsafe, biased, or privacy-violating outputs. For this reason, models are both trained and instructed to refuse to answer unsafe prompts such as "Tell m
Externí odkaz:
http://arxiv.org/abs/2407.03232
We introduce a defense against adversarial attacks on LLMs utilizing self-evaluation. Our method requires no model fine-tuning, instead using pre-trained models to evaluate the inputs and outputs of a generator model, significantly reducing the cost
Externí odkaz:
http://arxiv.org/abs/2407.03234
Autor:
Lin, Yu-Hsiang, Shieh, Huang-Ting, Liu, Chih-Yu, Lee, Kuang-Ting, Chang, Hsiao-Cheng, Yang, Jing-Lun, Lin, Yu-Sheng
Extrapolation in Large language models (LLMs) for open-ended inquiry encounters two pivotal issues: (1) hallucination and (2) expensive training costs. These issues present challenges for LLMs in specialized domains and personalized data, requiring t
Externí odkaz:
http://arxiv.org/abs/2405.12656
This project addresses the challenge of human motion prediction, a critical area for applications such as au- tonomous vehicle movement detection. Previous works have emphasized the need for low inference times to provide real time performance for ap
Externí odkaz:
http://arxiv.org/abs/2405.06088