Zobrazeno 1 - 10
of 18 251
pro vyhledávání: '"Tur, A"'
Autor:
Agrawal, Stuti, Uppuluri, Nishi, Pillai, Pranav, Reddy, Revanth Gangi, Li, Zoey, Tur, Gokhan, Hakkani-Tur, Dilek, Ji, Heng
LLM-driven dialog systems are used in a diverse set of applications, ranging from healthcare to customer service. However, given their generalization capability, it is difficult to ensure that these chatbots stay within the boundaries of the speciali
Externí odkaz:
http://arxiv.org/abs/2408.01623
Autor:
Zhou, Huibin, Su, Xinzhou, Duan, Yuxiang, Zuo, Yue, Jiang, Zile, Ramakrishnan, Muralekrishnan, Tepper, Jan, Ziegler, Volker, Boyd, Robert W., Tur, Moshe, Willner, Alan E.
Coherent detection can provide enhanced receiver sensitivity and spectral efficiency in free-space optical (FSO) communications. However, turbulence can cause modal power coupling effects on a Gaussian data beam and significantly degrade the mixing e
Externí odkaz:
http://arxiv.org/abs/2408.09114
Socratic questioning is an effective teaching strategy, encouraging critical thinking and problem-solving. The conversational capabilities of large language models (LLMs) show great potential for providing scalable, real-time student guidance. Howeve
Externí odkaz:
http://arxiv.org/abs/2406.11709
Autor:
Gopalakrishnan, Karthik, Hedayatnia, Behnam, Chen, Qinlang, Gottardi, Anna, Kwatra, Sanjeev, Venkatesh, Anu, Gabriel, Raefer, Hakkani-Tur, Dilek
Building socialbots that can have deep, engaging open-domain conversations with humans is one of the grand challenges of artificial intelligence (AI). To this end, bots need to be able to leverage world knowledge spanning several domains effectively
Externí odkaz:
http://arxiv.org/abs/2308.11995
Autor:
Su, Xinzhou, Zou, Kaiheng, Zhou, Huibin, Song, Hao, Wang, Yingning, Zeng, Ruoyu, Jiang, Zile, Duan, Yuxiang, Karpov, Maxim, Kippenberg, Tobias J., Tur, Moshe, Christodoulides, Demetrios N., Willner, Alan E.
In general, space-time wave packets with correlations between transverse spatial fields and temporal frequency spectra can lead to unique spatiotemporal dynamics, thus enabling control of the instantaneous light properties. However, spatiotemporal dy
Externí odkaz:
http://arxiv.org/abs/2308.11213
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
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to labels. To accomplish this, the proposed method employs conditional diffu
Externí odkaz:
http://arxiv.org/abs/2307.01533
Autor:
Zhao, Chao, Gella, Spandana, Kim, Seokhwan, Jin, Di, Hazarika, Devamanyu, Papangelis, Alexandros, Hedayatnia, Behnam, Namazifar, Mahdi, Liu, Yang, Hakkani-Tur, Dilek
Task-oriented Dialogue (TOD) Systems aim to build dialogue systems that assist users in accomplishing specific goals, such as booking a hotel or a restaurant. Traditional TODs rely on domain-specific APIs/DBs or external factual knowledge to generate
Externí odkaz:
http://arxiv.org/abs/2305.12091
Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks. Recent work building systems for translating natural language to executable actions for task complet
Externí odkaz:
http://arxiv.org/abs/2305.06485
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data annotations are not used. As being sparse, diverse, contextual, and oft
Externí odkaz:
http://arxiv.org/abs/2304.05841