Zobrazeno 1 - 10
of 12 003
pro vyhledávání: '"Shakeri, A."'
We study the evolution of a newly formed magnetized neutron-star (NS) as a power source of gamma-ray bursts (GRBs) in the light of both gravitational wave (GW) and electromagnetic (EM) radiations. The compressible and incompressible fluids are employ
Externí odkaz:
http://arxiv.org/abs/2410.07883
Autor:
Zahraei, Pardis Sadat, Shakeri, Zahra
Biased AI-generated medical advice and misdiagnoses can jeopardize patient safety, making the integrity of AI in healthcare more critical than ever. As Large Language Models (LLMs) take on a growing role in medical decision-making, addressing their b
Externí odkaz:
http://arxiv.org/abs/2410.06566
Autor:
Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh, Hui, Jeffrey, Dikkala, Nishanth, Kazemi, Mehran, Fatemi, Bahare, Anil, Rohan, Dyer, Ethan, Shakeri, Siamak, Vij, Roopali, Mehta, Harsh, Ramasesh, Vinay, Le, Quoc, Chi, Ed, Lu, Yifeng, Firat, Orhan, Lazaridou, Angeliki, Lespiau, Jean-Baptiste, Attaluri, Nithya, Olszewska, Kate
We introduce Michelangelo: a minimal, synthetic, and unleaked long-context reasoning evaluation for large language models which is also easy to automatically score. This evaluation is derived via a novel, unifying framework for evaluations over arbit
Externí odkaz:
http://arxiv.org/abs/2409.12640
Autor:
Shakeri, Fereshteh, Huang, Yunshi, Silva-Rodríguez, Julio, Bahig, Houda, Tang, An, Dolz, Jose, Ayed, Ismail Ben
Integrating image and text data through multi-modal learning has emerged as a new approach in medical imaging research, following its successful deployment in computer vision. While considerable efforts have been dedicated to establishing medical fou
Externí odkaz:
http://arxiv.org/abs/2409.03868
The development of vision-language models (VLMs) for histo-pathology has shown promising new usages and zero-shot performances. However, current approaches, which decompose large slides into smaller patches, focus solely on inductive classification,
Externí odkaz:
http://arxiv.org/abs/2409.01883
Autor:
Shakeri, Ali
Specifying an Operational Design Domain (ODD) is crucial for safeguarding automated vehicle systems against conditions that exceed their capabilities. Yet, prior definitions of ODD have relied on ambiguous and unclear terms, resulting in numerous mis
Externí odkaz:
http://arxiv.org/abs/2408.14481
Autor:
Saab, Khaled, Tu, Tao, Weng, Wei-Hung, Tanno, Ryutaro, Stutz, David, Wulczyn, Ellery, Zhang, Fan, Strother, Tim, Park, Chunjong, Vedadi, Elahe, Chaves, Juanma Zambrano, Hu, Szu-Yeu, Schaekermann, Mike, Kamath, Aishwarya, Cheng, Yong, Barrett, David G. T., Cheung, Cathy, Mustafa, Basil, Palepu, Anil, McDuff, Daniel, Hou, Le, Golany, Tomer, Liu, Luyang, Alayrac, Jean-baptiste, Houlsby, Neil, Tomasev, Nenad, Freyberg, Jan, Lau, Charles, Kemp, Jonas, Lai, Jeremy, Azizi, Shekoofeh, Kanada, Kimberly, Man, SiWai, Kulkarni, Kavita, Sun, Ruoxi, Shakeri, Siamak, He, Luheng, Caine, Ben, Webson, Albert, Latysheva, Natasha, Johnson, Melvin, Mansfield, Philip, Lu, Jian, Rivlin, Ehud, Anderson, Jesper, Green, Bradley, Wong, Renee, Krause, Jonathan, Shlens, Jonathon, Dominowska, Ewa, Eslami, S. M. Ali, Chou, Katherine, Cui, Claire, Vinyals, Oriol, Kavukcuoglu, Koray, Manyika, James, Dean, Jeff, Hassabis, Demis, Matias, Yossi, Webster, Dale, Barral, Joelle, Corrado, Greg, Semturs, Christopher, Mahdavi, S. Sara, Gottweis, Juraj, Karthikesalingam, Alan, Natarajan, Vivek
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of complex multimodal data. Gemini models, with strong general capabilit
Externí odkaz:
http://arxiv.org/abs/2404.18416
Autor:
Wang, Yu, Zhang, Shu-Rui, Momtaz, Aidin, Moradi, Rahim, Rastegarnia, Fatemeh, Sahakyan, Narek, Shakeri, Soroush, Li, Liang
ChatGPT has been the most talked-about concept in recent months, captivating both professionals and the general public alike, and has sparked discussions about the changes that artificial intelligence (AI) will bring to the world. As physicists and a
Externí odkaz:
http://arxiv.org/abs/2404.10019
Autor:
Martin, Ségolène, Huang, Yunshi, Shakeri, Fereshteh, Pesquet, Jean-Christophe, Ayed, Ismail Ben
Transductive inference has been widely investigated in few-shot image classification, but completely overlooked in the recent, fast growing literature on adapting vision-langage models like CLIP. This paper addresses the transductive zero-shot and fe
Externí odkaz:
http://arxiv.org/abs/2405.18437
Autor:
Huang, Yunshi, Shakeri, Fereshteh, Dolz, Jose, Boudiaf, Malik, Bahig, Houda, Ayed, Ismail Ben
In a recent, strongly emergent literature on few-shot CLIP adaptation, Linear Probe (LP) has been often reported as a weak baseline. This has motivated intensive research building convoluted prompt learning or feature adaptation strategies. In this w
Externí odkaz:
http://arxiv.org/abs/2404.02285