Zobrazeno 1 - 10
of 20 916
pro vyhledávání: '"Jasmine, P."'
Sarcasm is hard to interpret as human beings. Being able to interpret sarcasm is often termed as a sign of intelligence, given the complex nature of sarcasm. Hence, this is a field of Natural Language Processing which is still complex for computers t
Externí odkaz:
http://arxiv.org/abs/2412.00425
Autor:
Fang, Xiaolin, Huang, Bo-Ruei, Mao, Jiayuan, Shone, Jasmine, Tenenbaum, Joshua B., Lozano-Pérez, Tomás, Kaelbling, Leslie Pack
Generalization to novel object configurations and instances across diverse tasks and environments is a critical challenge in robotics. Keypoint-based representations have been proven effective as a succinct representation for capturing essential obje
Externí odkaz:
http://arxiv.org/abs/2410.23254
Autor:
Bhusal, Bhumi, Sanpitak, Pia Panravi, Vu, Jasmine, Jiang, Fuchang, Richardson, Jacob, Seiberlich, Nicole, Rosenow, Joshua M., Elahi, Behzad, Golestanirad, Laleh
Purpose: Low-field MRI has been assumed to be implant-friendly based on limited studies. However, RF-induced heating due to an implant is a complex resonance phenomenon, highly dependent on the implant's configurations and the applied RF frequencies.
Externí odkaz:
http://arxiv.org/abs/2410.19943
Multi-agent systems are trained to maximize shared cost objectives, which typically reflect system-level efficiency. However, in the resource-constrained environments of mobility and transportation systems, efficiency may be achieved at the expense o
Externí odkaz:
http://arxiv.org/abs/2410.14916
Autor:
Hocking, Toby Dylan, Thibault, Gabrielle, Bodine, Cameron Scott, Arellano, Paul Nelson, Shenkin, Alexander F, Lindly, Olivia Jasmine
In many real-world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions on a new test data subset that is qualitatively different in some resp
Externí odkaz:
http://arxiv.org/abs/2410.08643
Autor:
Ke, Yu He, Jin, Liyuan, Elangovan, Kabilan, Abdullah, Hairil Rizal, Liu, Nan, Sia, Alex Tiong Heng, Soh, Chai Rick, Tung, Joshua Yi Min, Ong, Jasmine Chiat Ling, Kuo, Chang-Fu, Wu, Shao-Chun, Kovacheva, Vesela P., Ting, Daniel Shu Wei
Large Language Models (LLMs) show potential for medical applications but often lack specialized clinical knowledge. Retrieval Augmented Generation (RAG) allows customization with domain-specific information, making it suitable for healthcare. This st
Externí odkaz:
http://arxiv.org/abs/2410.08431
Autor:
Vrancken, Jasmine, Abdul-Masih, Michael, Escorza, Ana, Menon, Athira, Mahy, Laurent, Marchant, Pablo
Binary systems play a crucial role in massive star evolution. Systems composed of B-type and O-type stars are of particular interest due to their potential to lead to very energetic phenomena or the merging of exotic compact objects. We aim to determ
Externí odkaz:
http://arxiv.org/abs/2410.05084
Learning complex robot behavior through interactions with the environment necessitates principled exploration. Effective strategies should prioritize exploring regions of the state-action space that maximize rewards, with optimistic exploration emerg
Externí odkaz:
http://arxiv.org/abs/2410.04988
Resistance to therapy remains a significant challenge in cancer treatment, often due to the presence of a stem-like cell population that drives tumor recurrence post-treatment. Moreover, many anticancer therapies induce plasticity, converting initial
Externí odkaz:
http://arxiv.org/abs/2409.18879
Ultra-Low Frequency (ULF) waves are critical drivers of particle acceleration and loss in the Earth's magnetosphere. While statistical models of ULF-induced radial transport have traditionally assumed that the waves are uniformly distributed across m
Externí odkaz:
http://arxiv.org/abs/2409.12649