Zobrazeno 1 - 10
of 1 992
pro vyhledávání: '"Ghanadan, A."'
Autor:
Mullen Jr, James F., Goyal, Prasoon, Piramuthu, Robinson, Johnston, Michael, Manocha, Dinesh, Ghanadan, Reza
Publikováno v:
IEEE Robotics and Automation Letters 9.10 (2024) 9087 - 9094
Home robots intend to make their users lives easier. Our work assists in this goal by enabling robots to inform their users of dangerous or unsanitary anomalies in their home. Some examples of these anomalies include the user leaving their milk out,
Externí odkaz:
http://arxiv.org/abs/2404.08827
Autor:
Liu, Minqian, Shen, Ying, Xu, Zhiyang, Cao, Yixin, Cho, Eunah, Kumar, Vaibhav, Ghanadan, Reza, Huang, Lifu
Natural Language Generation (NLG) typically involves evaluating the generated text in various aspects (e.g., consistency and naturalness) to obtain a comprehensive assessment. However, multi-aspect evaluation remains challenging as it may require the
Externí odkaz:
http://arxiv.org/abs/2311.08788
Autor:
Bahia Namavar Jahromi, Foroogh Pourgholam, Mohammad Ebrahim Parsanezhad, Sedigheh Amuee, Afsoon Zaree, Niloofar Namazi, Sareh Doostfatemeh, Elmira Ghanadan
Publikováno v:
Contraception and Reproductive Medicine, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Estradiol (E2) levels on the day progesterone starts may negatively impact implantation, ongoing pregnancy, and live birth rates in frozen embryo transfer (FET). Overall, while the picture isn't entirely clear, some evidence suggests maintai
Externí odkaz:
https://doaj.org/article/1c507f022df946b697975281f978bbfd
Autor:
Li, Jiachen, Gao, Qiaozi, Johnston, Michael, Gao, Xiaofeng, He, Xuehai, Shakiah, Suhaila, Shi, Hangjie, Ghanadan, Reza, Wang, William Yang
Prompt-based learning has been demonstrated as a compelling paradigm contributing to large language models' tremendous success (LLMs). Inspired by their success in language tasks, existing research has leveraged LLMs in embodied instruction following
Externí odkaz:
http://arxiv.org/abs/2310.09676
Autor:
Shi, Hangjie, Ball, Leslie, Thattai, Govind, Zhang, Desheng, Hu, Lucy, Gao, Qiaozi, Shakiah, Suhaila, Gao, Xiaofeng, Padmakumar, Aishwarya, Yang, Bofei, Chung, Cadence, Guthy, Dinakar, Sukhatme, Gaurav, Arumugam, Karthika, Wen, Matthew, Ipek, Osman, Lange, Patrick, Khanna, Rohan, Pansare, Shreyas, Sharma, Vasu, Zhang, Chao, Flagg, Cris, Pressel, Daniel, Vaz, Lavina, Dai, Luke, Goyal, Prasoon, Sahai, Sattvik, Liu, Shaohua, Lu, Yao, Gottardi, Anna, Hu, Shui, Liu, Yang, Hakkani-Tur, Dilek, Bland, Kate, Rocker, Heather, Jeun, James, Rao, Yadunandana, Johnston, Michael, Iyengar, Akshaya, Mandal, Arindam, Natarajan, Prem, Ghanadan, Reza
The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the SocialBot Grand Challenge and the TaskBot Challenge. As conversational
Externí odkaz:
http://arxiv.org/abs/2308.05221
Publikováno v:
Medical Marketing & Media. 2024 Special Issue, p16-16. 1p.
Autor:
Edjtemaei, Ramtin1 (AUTHOR) ramtin.ir.edjtemaee@gmail.com, Ghanadan, Alireza2 (AUTHOR), Ameli, Fereshte2 (AUTHOR)
Publikováno v:
Clinical Case Reports. Sep2024, Vol. 12 Issue 9, p1-6. 6p.
Autor:
BAGHERANI, NOOSHIN1, GHANADAN, ALIREZA2, MIRMOMENI, GOLSHAN3, FIROOZ, ALIREZA4, SMOLLER, BRUCE R.5, SHOJAEI, REZA6, RAFIPOUR, HANIYEH7, BAGHERANI, NEGIN8, ABDOLHOSSEINI, MANSOREH9, TAVOOSIDANA, GHOLAMREZA9 tavosi12@yahoo.com
Publikováno v:
Journal of Clinical & Aesthetic Dermatology. Aug2024, Vol. 17 Issue 8, p62-69. 8p.
Autor:
Gao, Qiaozi, Thattai, Govind, Shakiah, Suhaila, Gao, Xiaofeng, Pansare, Shreyas, Sharma, Vasu, Sukhatme, Gaurav, Shi, Hangjie, Yang, Bofei, Zheng, Desheng, Hu, Lucy, Arumugam, Karthika, Hu, Shui, Wen, Matthew, Guthy, Dinakar, Chung, Cadence, Khanna, Rohan, Ipek, Osman, Ball, Leslie, Bland, Kate, Rocker, Heather, Rao, Yadunandana, Johnston, Michael, Ghanadan, Reza, Mandal, Arindam, Tur, Dilek Hakkani, Natarajan, Prem
We introduce Alexa Arena, a user-centric simulation platform for Embodied AI (EAI) research. Alexa Arena provides a variety of multi-room layouts and interactable objects, for the creation of human-robot interaction (HRI) missions. With user-friendly
Externí odkaz:
http://arxiv.org/abs/2303.01586
Effective evaluation methods remain a significant challenge for research on open-domain conversational dialogue systems. Explicit satisfaction ratings can be elicited from users, but users often do not provide ratings when asked, and those they give
Externí odkaz:
http://arxiv.org/abs/2301.13372