Zobrazeno 1 - 10
of 133 377
pro vyhledávání: '"Hosseini, A"'
Transformers have revolutionized Computer Vision (CV) and Natural Language Processing (NLP) through self-attention mechanisms. However, due to their complexity, their latent token representations are often difficult to interpret. We introduce a novel
Externí odkaz:
http://arxiv.org/abs/2411.12589
Unmanned aerial vehicles (UAVs) have the potential for time-sensitive applications. Due to wireless channel variation, received data may have an expiration time, particularly in critical situations such as rescue operations, natural disasters, or the
Externí odkaz:
http://arxiv.org/abs/2411.12312
Autor:
Dehghani, Amir, Kim, J. Leo, Hosseini, Dorsa Sadat, Krolewski, Alex, Mukherjee, Suvodip, Geshnizjani, Ghazal
This study presents the modeling of the gravitational wave (GW) bias parameter by bridging a connection between simulated GW sources and galaxies in low redshift galaxy surveys 2MPZ and WISExSCOS (WISC). We study this connection by creating a mock GW
Externí odkaz:
http://arxiv.org/abs/2411.11965
Autor:
Nejad, Seyed Mohsen Hosseini
We analyze the static potentials induced by vacuum domains for various representations in SU($4$) Yang-Mills theory within the framework of the domain structure model. By studying the interactions within the vacuum domains, we can uncover fundamental
Externí odkaz:
http://arxiv.org/abs/2411.10589
Autor:
Hosseini, Pedram, Sin, Jessica M., Ren, Bing, Thomas, Bryceton G., Nouri, Elnaz, Farahanchi, Ali, Hassanpour, Saeed
There is a lack of benchmarks for evaluating large language models (LLMs) in long-form medical question answering (QA). Most existing medical QA evaluation benchmarks focus on automatic metrics and multiple-choice questions. While valuable, these ben
Externí odkaz:
http://arxiv.org/abs/2411.09834
An important problem on social information sites is the recovery of ground truth from individual reports when the experts are in the minority. The wisdom of the crowd, i.e. the collective opinion of a group of individuals fails in such a scenario. Ho
Externí odkaz:
http://arxiv.org/abs/2411.08367
Autor:
Hosseini, S. Elaheh, Eckart, Andreas, Zajaček, Michal, Britzen, Silke, Bhat, Harshitha K., Karas, Vladimír
Publikováno v:
The Astrophysical Journal, Volume 975, Issue 2, id.261, 15 pp., 2024
We focus on a sample of 42 sources in the vicinity of the bow-shock source IRS 1W (N-sources), located at the distance of $6.05''$ north-east of the supermassive black hole (SMBH) Sagittarius A* (Sgr A*), within the radius of $1.35''$. We present the
Externí odkaz:
http://arxiv.org/abs/2411.08970
Autor:
Notton, Cassandre, Sharma, Vasudev, Trinh, Vincent Quoc-Huy, Chen, Lina, Xu, Minqi, Varma, Sonal, Hosseini, Mahdi S.
Colorectal cancer (CRC) is one of the few cancers that have an established dysplasia-carcinoma sequence that benefits from screening. Everyone over 50 years of age in Canada is eligible for CRC screening. About 20\% of those people will undergo a bio
Externí odkaz:
http://arxiv.org/abs/2411.05959
Autor:
Chodacki, John, Hanhel, Mark, Iacus, Stefano, Scherle, Ryan, Olson, Eric, Pfeiffer, Nici, Holmes, Kristi, Hosseini, Mohammad
The Generalist Repository Ecosystem Initiative (GREI), funded by the NIH, developed an AI taxonomy tailored to data repository roles to guide AI integration across repository management. It categorizes the roles into stages, including acquisition, va
Externí odkaz:
http://arxiv.org/abs/2411.08054
Autor:
Hosseini, Hossein, Zare, Mohammad Sobhan, Mohammadi, Amir Hossein, Kazemi, Arefeh, Zojaji, Zahra, Nematbakhsh, Mohammad Ali
Retrieval augmented generation (RAG) models, which integrate large-scale pre-trained generative models with external retrieval mechanisms, have shown significant success in various natural language processing (NLP) tasks. However, applying RAG models
Externí odkaz:
http://arxiv.org/abs/2411.02832