Zobrazeno 1 - 10
of 6 585
pro vyhledávání: '"A. Castellucci"'
Autor:
Senel, Lütfi Kerem, Fetahu, Besnik, Yoshida, Davis, Chen, Zhiyu, Castellucci, Giuseppe, Vedula, Nikhita, Choi, Jason, Malmasi, Shervin
Recommender systems are widely used to suggest engaging content, and Large Language Models (LLMs) have given rise to generative recommenders. Such systems can directly generate items, including for open-set tasks like question suggestion. While the w
Externí odkaz:
http://arxiv.org/abs/2406.05255
Conversational Task Assistants (CTAs) guide users in performing a multitude of activities, such as making recipes. However, ensuring that interactions remain engaging, interesting, and enjoyable for CTA users is not trivial, especially for time-consu
Externí odkaz:
http://arxiv.org/abs/2404.06659
Autor:
Patwa, Parth, Filice, Simone, Chen, Zhiyu, Castellucci, Giuseppe, Rokhlenko, Oleg, Malmasi, Shervin
Large Language Models (LLMs) operating in 0-shot or few-shot settings achieve competitive results in Text Classification tasks. In-Context Learning (ICL) typically achieves better accuracy than the 0-shot setting, but it pays in terms of efficiency,
Externí odkaz:
http://arxiv.org/abs/2404.02422
Many Natural Language Generation (NLG) tasks aim to generate a single output text given an input prompt. Other settings require the generation of multiple texts, e.g., for Synthetic Traffic Generation (STG). This generation task is crucial for traini
Externí odkaz:
http://arxiv.org/abs/2311.12534
Autor:
Olascoaga, M. J., Beron-Vera, F. J., Beyea, R. T., Bonner, G., Castellucci, M., Goni, G. J., Guigand, C., Putman, N. F.
Publikováno v:
Physics of Fluids 35, 111702 (2023)
A recent Maxey--Riley theory for \sarg raft motion, which models a raft as a network of elastically interacting finite-size, buoyant particles, predicts the carrying flow velocity to be given by the weighted sum of the water and air velocities $(1-\a
Externí odkaz:
http://arxiv.org/abs/2311.08279
Autor:
Fetahu, Besnik, Faustini, Pedro, Castellucci, Giuseppe, Fang, Anjie, Rokhlenko, Oleg, Malmasi, Shervin
The adoption of voice assistants like Alexa or Siri has grown rapidly, allowing users to instantly access information via voice search. Query suggestion is a standard feature of screen-based search experiences, allowing users to explore additional to
Externí odkaz:
http://arxiv.org/abs/2310.17034
Multi-Task Learning (MTL) is widely-accepted in Natural Language Processing as a standard technique for learning multiple related tasks in one model. Training an MTL model requires having the training data for all tasks available at the same time. As
Externí odkaz:
http://arxiv.org/abs/2302.11074
Autor:
Castellucci, Erio1 segreteriaarcivescovile@modena.chiesacattolica.it
Publikováno v:
Credere Oggi. set/ott2024, Vol. 44 Issue 5, p100-112. 13p.
Autor:
Gottardi, Anna, Ipek, Osman, Castellucci, Giuseppe, Hu, Shui, Vaz, Lavina, Lu, Yao, Khatri, Anju, Chadha, Anjali, Zhang, Desheng, Sahai, Sattvik, Dwivedi, Prerna, Shi, Hangjie, Hu, Lucy, Huang, Andy, Dai, Luke, Yang, Bofei, Somani, Varun, Rajan, Pankaj, Rezac, Ron, Johnston, Michael, Stiff, Savanna, Ball, Leslie, Carmel, David, Liu, Yang, Hakkani-Tur, Dilek, Rokhlenko, Oleg, Bland, Kate, Agichtein, Eugene, Ghanadan, Reza, Maarek, Yoelle
Since its inception in 2016, the Alexa Prize program has enabled hundreds of university students to explore and compete to develop conversational agents through the SocialBot Grand Challenge. The goal of the challenge is to build agents capable of co
Externí odkaz:
http://arxiv.org/abs/2209.06321
Autor:
Andrea Castellucci, Georges Dumas, Sawsan M. Abuzaid, Enrico Armato, Salvatore Martellucci, Pasquale Malara, Mohamad Alfarghal, Rosanna Rita Ruberto, Pasquale Brizzi, Angelo Ghidini, Francesco Comacchio, Sébastien Schmerber
Publikováno v:
Audiology Research, Vol 14, Iss 2, Pp 317-332 (2024)
Posterior semicircular canal dehiscence (PSCD) has been demonstrated to result in a third mobile window mechanism (TMWM) in the inner ear similar to superior semicircular canal dehiscence (SSCD). Typical clinical and instrumental features of TMWM, in
Externí odkaz:
https://doaj.org/article/c20391c744484e94b295c5e8f2f40949