Zobrazeno 1 - 10
of 4 328
pro vyhledávání: '"P GIRIDHAR"'
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
Autor:
Fu, Yujuan Velvin, Ramachandran, Giridhar Kaushik, Park, Namu, Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Large language models (LLMs) such as ChatGPT are fine-tuned on large and diverse instruction-following corpora, and can generalize to new tasks. However, those instruction-tuned LLMs often perform poorly in specialized medical natural language unders
Externí odkaz:
http://arxiv.org/abs/2410.18955
Autor:
Merkow, Jameson, Dorfner, Felix J., Yang, Xiyu, Ersoy, Alexander, Dasegowda, Giridhar, Kalra, Mannudeep, Lungren, Matthew P., Bridge, Christopher P., Tarapov, Ivan
The integration of artificial intelligence (AI) into medical imaging has advanced clinical diagnostics but poses challenges in managing model drift and ensuring long-term reliability. To address these challenges, we develop MMC+, an enhanced framewor
Externí odkaz:
http://arxiv.org/abs/2410.13174
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Halwani, Ahmad, McInnes, Bridget T., Xia, Fei, Lybarger, Kevin, Yetisgen, Meliha, Uzuner, Özlem
Publikováno v:
Journal of the American Medical Informatics Association (2024): ocae231
Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationship between cancer drugs and their associated symptom burden, we extrac
Externí odkaz:
http://arxiv.org/abs/2409.03905
Autor:
Priya, M Kavi, Giridhar, K
Collision-free Frequency Hopping Sequences (FHS) are crucial for maintaining the throughput of Frequency Hopping Multiple Access (FHMA) communication systems. When multiple FHS deployed in the same geographical area hop into the same frequency spot o
Externí odkaz:
http://arxiv.org/abs/2408.12149
Autor:
Fusco, Luigi, Khalilov, Mikhail, Chrapek, Marcin, Chukkapalli, Giridhar, Schulthess, Thomas, Hoefler, Torsten
Heterogeneous supercomputers have become the standard in HPC. GPUs in particular have dominated the accelerator landscape, offering unprecedented performance in parallel workloads and unlocking new possibilities in fields like AI and climate modeling
Externí odkaz:
http://arxiv.org/abs/2408.11556
Reinforcement Learning (RL) has achieved impressive results on complex tasks but struggles in multi-task settings with different embodiments. World models offer scalability by learning a simulation of the environment, yet they often rely on inefficie
Externí odkaz:
http://arxiv.org/abs/2407.02466
Autor:
Ferro, A. Arellano, Muneer, S., Giridhar, Sunetra, Fierro, I. Bustos, Yepez, M. A., Pérez, G. A. García, Segura, G. Rios
Employing \emph{VI} images of NGC 2419 acquired over 17 years, light curves for most of the known variables in the field of the cluster are produced. A cluster membership analysis for about 3100 stars in the cluster field with proper motions from $Ga
Externí odkaz:
http://arxiv.org/abs/2404.19151
Autor:
Fu, Yujuan, Ramachandran, Giridhar Kaushik, Dobbins, Nicholas J, Park, Namu, Leu, Michael, Rosenberg, Abby R., Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Social determinants of health (SDoH) play a critical role in shaping health outcomes, particularly in pediatric populations where interventions can have long-term implications. SDoH are frequently studied in the Electronic Health Record (EHR), which
Externí odkaz:
http://arxiv.org/abs/2404.00826
Autor:
Park, Namu, Lybarger, Kevin, Ramachandran, Giridhar Kaushik, Lewis, Spencer, Damani, Aashka, Uzuner, Ozlem, Gunn, Martin, Yetisgen, Meliha
Medical imaging is critical to the diagnosis, surveillance, and treatment of many health conditions, including oncological, neurological, cardiovascular, and musculoskeletal disorders, among others. Radiologists interpret these complex, unstructured
Externí odkaz:
http://arxiv.org/abs/2403.18975
Massive MIMO (mMIMO) enables users with different requirements to get connected to the same base station (BS) on the same set of resources. In the uplink of Multiuser massive MIMO (MU-mMIMO), while such heterogeneous users are served, decoupling faci
Externí odkaz:
http://arxiv.org/abs/2403.03271