Zobrazeno 1 - 10
of 153 402
pro vyhledávání: '"A. Kao"'
Autor:
Kao, Kuei-Chun
Recently, CLIP has emerged as a valuable model for aligning image and text information in multi-modal scenarios. However, researchers have observed limitations in the ability of CLIP's text and image encoders to extract detailed knowledge from captio
Externí odkaz:
http://arxiv.org/abs/2412.03513
Autor:
Liu, Jie, Wang, Wenxuan, Ma, Zizhan, Huang, Guolin, SU, Yihang, Chang, Kao-Jung, Chen, Wenting, Li, Haoliang, Shen, Linlin, Lyu, Michael
Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare delivery, yet it remains a significant challenge for artificial intelligence systems. While Large Language Model (LLM)-based agents have been tested on general medical
Externí odkaz:
http://arxiv.org/abs/2412.01605
In this paper, we evaluate the capability of large language models to conduct personalized phishing attacks and compare their performance with human experts and AI models from last year. We include four email groups with a combined total of 101 parti
Externí odkaz:
http://arxiv.org/abs/2412.00586
Autor:
Wiesner, Philipp, Grinwald, Dennis, Weiß, Philipp, Wilhelm, Patrick, Khalili, Ramin, Kao, Odej
The energy demand of modern cloud services, particularly those related to generative AI, is increasing at an unprecedented pace. While hyperscalers are collectively failing to meet their self-imposed emission reduction targets, they face increasing p
Externí odkaz:
http://arxiv.org/abs/2411.19058
Linear block transform coding remains a fundamental component of image and video compression. Although the Discrete Cosine Transform (DCT) is widely employed in all current compression standards, its sub-optimality has sparked ongoing research into d
Externí odkaz:
http://arxiv.org/abs/2411.18494
Autor:
Jiang, Song, JU, Da, Cohen, Andrew, Mitts, Sasha, Foss, Aaron, Kao, Justine T, Li, Xian, Tian, Yuandong
How are LLM-based agents used in the future? While many of the existing work on agents has focused on improving the performance of a specific family of objective and challenging tasks, in this work, we take a different perspective by thinking about f
Externí odkaz:
http://arxiv.org/abs/2411.13904
Autor:
Kuo, Kao-Yueh, Ouyang, Yingkai
Erasures are the primary type of errors in physical systems dominated by leakage errors. While quantum error correction (QEC) using stabilizer codes can combat these error, the question of achieving near-capacity performance with explicit codes and e
Externí odkaz:
http://arxiv.org/abs/2411.13509
H5N1 highly pathogenic avian influenza (HPAI) has been recently circulating in previously unseen patterns. As the underlying causes are uncertain, we need a better understanding of the drivers of virus circulation, as they underpin the spread, and in
Externí odkaz:
http://arxiv.org/abs/2411.10424
Autor:
Hsieh, He-Yen, Li, Ziyun, Zhang, Sai Qian, Ting, Wei-Te Mark, Chang, Kao-Den, De Salvo, Barbara, Liu, Chiao, Kung, H. T.
We present GazeGen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. GazeGen allows intuitive manipulation of visual content by targeting regions of interest with gaze. Using
Externí odkaz:
http://arxiv.org/abs/2411.04335
Autor:
Martinez, Gildardo, Siu, Justin, Dang, Steven, Gage, Dylan, Kao, Emma, Avila, Juan Carlos, You, Ruilin, McGorty, Ryan
Differential dynamic microscopy (DDM) typically relies on movies containing hundreds or thousands of frames to accurately quantify motion in soft matter systems. Using movies much shorter in duration produces noisier and less accurate results. This l
Externí odkaz:
http://arxiv.org/abs/2411.02314