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pro vyhledávání: '"Arkhangorodsky, Arkady"'
Autor:
Verga, Pat, Hofstatter, Sebastian, Althammer, Sophia, Su, Yixuan, Piktus, Aleksandra, Arkhangorodsky, Arkady, Xu, Minjie, White, Naomi, Lewis, Patrick
As Large Language Models (LLMs) have become more advanced, they have outpaced our abilities to accurately evaluate their quality. Not only is finding data to adequately probe particular model properties difficult, but evaluating the correctness of a
Externí odkaz:
http://arxiv.org/abs/2404.18796
Autor:
Arkhangorodsky, Arkady, Fang, Scot, Knight, Victoria, Nagesh, Ajay, Ryskina, Maria, Knight, Kevin
Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces. However, human/human corpora are frequently too small for supervised training to be effective. This paper investigates two approach
Externí odkaz:
http://arxiv.org/abs/2109.09597
Autor:
Arkhangorodsky, Arkady, Chu, Christopher, Fang, Scot, Huang, Yiqi, Jiang, Denglin, Nagesh, Ajay, Zhang, Boliang, Knight, Kevin
We present MeetDot, a videoconferencing system with live translation captions overlaid on screen. The system aims to facilitate conversation between people who speak different languages, thereby reducing communication barriers between multilingual pa
Externí odkaz:
http://arxiv.org/abs/2109.09577
Autor:
Arkhangorodsky, Arkady, Axelrod, Amittai, Chu, Christopher, Fang, Scot, Huang, Yiqi, Nagesh, Ajay, Shi, Xing, Zhang, Boliang, Knight, Kevin
We create a new task-oriented dialog platform (MEEP) where agents are given considerable freedom in terms of utterances and API calls, but are constrained to work within a push-button environment. We include facilities for collecting human-human dial
Externí odkaz:
http://arxiv.org/abs/2010.04747
Autor:
Burnett, Keenan, Qian, Jingxing, Du, Xintong, Liu, Linqiao, Yoon, David J., Shen, Tianchang, Sun, Susan, Samavi, Sepehr, Sorocky, Michael J., Bianchi, Mollie, Zhang, Kaicheng, Arkhangorodsky, Arkady, Sykora, Quinlan, Lu, Shichen, Huang, Yizhou, Schoellig, Angela P., Barfoot, Timothy D.
The SAE AutoDrive Challenge is a three-year collegiate competition to develop a self-driving car by 2020. The second year of the competition was held in June 2019 at MCity, a mock town built for self-driving car testing at the University of Michigan.
Externí odkaz:
http://arxiv.org/abs/2004.08752
Akademický článek
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Autor:
Bhattarai, Upendra Raj1, Li, Fengjiao1, Katuwal Bhattarai, Mandira1, Masoudi, Abolfazl1, Wang, Dun1 dunwang@foxmail.com
Publikováno v:
Scientific Reports. 12/3/2018, Vol. 8 Issue 1, p1-1. 1p.
Autor:
Gloria Corpas Pastor, Bart Defrancq
While interpreting long remained unaffected by the technological progress that transformed the translation industry, recent years have witnessed a paradigm shift, such that interpreters increasingly interact with technological tools, that the deliver