Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Mishra, Aditi"'
Generative image models have emerged as a promising technology to produce realistic images. Despite potential benefits, concerns grow about its misuse, particularly in generating deceptive images that could raise significant ethical, legal, and socie
Externí odkaz:
http://arxiv.org/abs/2404.02990
Large language models (LLMs) are proficient at generating fluent text with minimal task-specific supervision. Yet, their ability to provide well-grounded rationalizations for knowledge-intensive tasks remains under-explored. Such tasks, like commonse
Externí odkaz:
http://arxiv.org/abs/2311.05085
Large Language Models (LLMs) have gained widespread popularity due to their ability to perform ad-hoc Natural Language Processing (NLP) tasks with a simple natural language prompt. Part of the appeal for LLMs is their approachability to the general p
Externí odkaz:
http://arxiv.org/abs/2304.01964
Traditional deep learning interpretability methods which are suitable for model users cannot explain network behaviors at the global level and are inflexible at providing fine-grained explanations. As a solution, concept-based explanations are gainin
Externí odkaz:
http://arxiv.org/abs/2204.01888
Autor:
Agrawal, Gaurav, Mishra, Aditi
Publikováno v:
International Journal of Human Rights in Healthcare, 2022, Vol. 16, Issue 4, pp. 352-363.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJHRH-08-2021-0155
Autor:
Baum, Richard P. *, Novruzov, Emil, Zhao, Tianzhi, Greifenstein, Lukas *, Jakobsson, Vivianne, Perrone, Elisabetta, Mishra, Aditi *, Eismant, Aleksandr *, Ghai, Kriti *, Klein, Ortwin, Jaeschke, Bastian, Benz-Zils, Daniel *, Cardinale, Jens, Mori, Yuriko, Giesel, Frederik L., Zhang, Jingjing
Publikováno v:
In Seminars in Nuclear Medicine July 2024 54(4):537-556
Autor:
Thompson, Dakota T., Breyfogle, Ethan G., Tran, Catherine G., Suraju, Mohammed O., Mishra, Aditi, Lanewalla, Hussain A., Goffredo, Paolo, Hassan, Imran
Publikováno v:
In Surgery Open Science June 2024 19:95-100
We develop a visual analytics system, NewsKaleidoscope, to investigate the how news reporting of events varies. NewsKaleidoscope combines several backend text language processing techniques with a coordinated visualization interface tailored for visu
Externí odkaz:
http://arxiv.org/abs/2105.03839
Publikováno v:
In HardwareX March 2024 17
Reinforcement learning (RL) is used in many domains, including autonomous driving, robotics, stock trading, and video games. Unfortunately, the black box nature of RL agents, combined with legal and ethical considerations, makes it increasingly impor
Externí odkaz:
http://arxiv.org/abs/2104.02818