Zobrazeno 1 - 10
of 53 965
pro vyhledávání: '"P A, Roth"'
Autor:
Wang, Pochuan, Shen, Chen, Oda, Masahiro, Fuh, Chiou-Shann, Mori, Kensaku, Wang, Weichung, Roth, Holger R.
In medical imaging, developing generalized segmentation models that can handle multiple organs and lesions is crucial. However, the scarcity of fully annotated datasets and strict privacy regulations present significant barriers to data sharing. Fede
Externí odkaz:
http://arxiv.org/abs/2412.18833
Citizen science biodiversity data present great opportunities for ecology and conservation across vast spatial and temporal scales. However, the opportunistic nature of these data lacks the sampling structure required by modeling methodologies that a
Externí odkaz:
http://arxiv.org/abs/2412.15559
Autor:
Addison, Parker, Nguyen, Minh-Tuan H., Medan, Tomislav, Shah, Jinali, Manzari, Mohammad T., McElrone, Brendan, Lalwani, Laksh, More, Aboli, Sharma, Smita, Roth, Holger R., Yang, Isaac, Chen, Chester, Xu, Daguang, Cheng, Yan, Feng, Andrew, Xu, Ziyue
Organizations seeking to utilize Large Language Models (LLMs) for knowledge querying and analysis often encounter challenges in maintaining an LLM fine-tuned on targeted, up-to-date information that keeps answers relevant and grounded. Retrieval Augm
Externí odkaz:
http://arxiv.org/abs/2412.13163
NAVCON: A Cognitively Inspired and Linguistically Grounded Corpus for Vision and Language Navigation
Autor:
Wanchoo, Karan, Zuo, Xiaoye, Gonzalez, Hannah, Dan, Soham, Georgakis, Georgios, Roth, Dan, Daniilidis, Kostas, Miltsakaki, Eleni
We present NAVCON, a large-scale annotated Vision-Language Navigation (VLN) corpus built on top of two popular datasets (R2R and RxR). The paper introduces four core, cognitively motivated and linguistically grounded, navigation concepts and an algor
Externí odkaz:
http://arxiv.org/abs/2412.13026
Autor:
Zhang, Cindy, Roth, Frederick P.
Computational variant effect predictors (VEPs) are providing increasingly strong evidence to classify the pathogenicity of missense variants. Precision vs. recall analysis is useful in evaluating VEP performance, especially when adjusted for imbalanc
Externí odkaz:
http://arxiv.org/abs/2412.10262
Autor:
Herklotz, Andreas, Roth, Robert, Chong, Zhi Xiang, Luo, Liang, Park, Joong Mok, Brahlek, Matthew, Wang, Jigang, Dörr, Kathrin, Ward, Thomas Zac
Domain engineering in ferroelectric thin films is crucial for next-generation microelectronic and photonic technologies. Here, a method is demonstrated to precisely control domain configurations in BaTiO$_3$ thin films through low-energy He ion impla
Externí odkaz:
http://arxiv.org/abs/2412.10077
Autor:
Bester, Hertzog L., Kenyon, Jonathan S., Repetti, Audrey, Perkins, Simon J., Smirnov, Oleg M., Blecher, Tariq, Mhiri, Yassine, Roth, Jakob, Heywood, Ian, Wiaux, Yves, Hugo, Benjamin V.
The popularity of the CLEAN algorithm in radio interferometric imaging stems from its maturity, speed, and robustness. While many alternatives have been proposed in the literature, none have achieved mainstream adoption by astronomers working with da
Externí odkaz:
http://arxiv.org/abs/2412.10073
Autor:
Feng, Yu, Htut, Phu Mon, Qi, Zheng, Xiao, Wei, Mager, Manuel, Pappas, Nikolaos, Halder, Kishaloy, Li, Yang, Benajiba, Yassine, Roth, Dan
Quantifying the uncertainty in the factual parametric knowledge of Large Language Models (LLMs), especially in a black-box setting, poses a significant challenge. Existing methods, which gauge a model's uncertainty through evaluating self-consistency
Externí odkaz:
http://arxiv.org/abs/2412.09572
Understanding the properties of excited states of complex molecules is crucial for many chemical and physical processes. Calculating these properties is often significantly more resource-intensive than calculating their ground state counterparts. We
Externí odkaz:
http://arxiv.org/abs/2412.09423
The even distribution and optimization of tasks across resources and workstations is a critical process in manufacturing aimed at maximizing efficiency, productivity, and profitability, known as Robotic Assembly Line Balancing (RALB). With the increa
Externí odkaz:
http://arxiv.org/abs/2412.09239