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pro vyhledávání: '"A. , Kirk"'
Cluster analyses of high-dimensional data are often hampered by the presence of large numbers of variables that do not provide relevant information, as well as the perennial issue of choosing an appropriate number of clusters. These challenges are fr
Externí odkaz:
http://arxiv.org/abs/2411.19262
With the advancement of large language models (LLMs), the biomedical domain has seen significant progress and improvement in multiple tasks such as biomedical question answering, lay language summarization of the biomedical literature, clinical note
Externí odkaz:
http://arxiv.org/abs/2411.18069
Autor:
Diggs, Colin, Doyle, Michael, Madan, Amit, Scott, Siggy, Escamilla, Emily, Zimmer, Jacob, Nekoo, Naveed, Ursino, Paul, Bartholf, Michael, Robin, Zachary, Patel, Anand, Glasz, Chris, Macke, William, Kirk, Paul, Phillips, Jasper, Sridharan, Arun, Wendt, Doug, Rosen, Scott, Naik, Nitin, Brunelle, Justin F., Thaker, Samruddhi
Legacy software systems, written in outdated languages like MUMPS and mainframe assembly, pose challenges in efficiency, maintenance, staffing, and security. While LLMs offer promise for modernizing these systems, their ability to understand legacy l
Externí odkaz:
http://arxiv.org/abs/2411.14971
Autor:
Ruis, Laura, Mozes, Maximilian, Bae, Juhan, Kamalakara, Siddhartha Rao, Talupuru, Dwarak, Locatelli, Acyr, Kirk, Robert, Rocktäschel, Tim, Grefenstette, Edward, Bartolo, Max
The capabilities and limitations of Large Language Models have been sketched out in great detail in recent years, providing an intriguing yet conflicting picture. On the one hand, LLMs demonstrate a general ability to solve problems. On the other han
Externí odkaz:
http://arxiv.org/abs/2411.12580
Autor:
Hsu, Enshuo, Roberts, Kirk
Objectives: Despite the recent adoption of large language models (LLMs) for biomedical information extraction, challenges in prompt engineering and algorithms persist, with no dedicated software available. To address this, we developed LLM-IE: a Pyth
Externí odkaz:
http://arxiv.org/abs/2411.11779
Electrically tunable quantum correlations of dipolar polaritons with micrometer-scale blockade radii
An extreme yet reconfigurable nonlinear response to a single photon by a photonic system is crucial for realizing a universal two-photon gate, an elementary building block for photonic quantum computing. Yet such a response, characterized by the phot
Externí odkaz:
http://arxiv.org/abs/2411.12059
Autor:
Emma, Claudio, Majernik, Nathan, Swanson, Kelly, Ariniello, Robert, Gessner, Spencer, Hessami, Rafi, Hogan, Mark J, Knetsch, Alexander, Larsen, Kirk A, Marinelli, Agostino, O'Shea, Brendan, Perez, Sharon, Rajkovic, Ivan, Robles, River, Storey, Douglas, Yocky, Gerald
In this Letter we report on the experimental generation of high energy (10 GeV), ultra-short (fs-duration), ultra-high current (0.1 MA), petawatt peak power electron beams in a particle accelerator. These extreme beams enable the exploration of a new
Externí odkaz:
http://arxiv.org/abs/2411.10413
Autor:
Mohseni, Masoud, Scherer, Artur, Johnson, K. Grace, Wertheim, Oded, Otten, Matthew, Aadit, Navid Anjum, Bresniker, Kirk M., Camsari, Kerem Y., Chapman, Barbara, Chatterjee, Soumitra, Dagnew, Gebremedhin A., Esposito, Aniello, Fahim, Farah, Fiorentino, Marco, Khalid, Abdullah, Kong, Xiangzhou, Kulchytskyy, Bohdan, Li, Ruoyu, Lott, P. Aaron, Markov, Igor L., McDermott, Robert F., Pedretti, Giacomo, Gajjar, Archit, Silva, Allyson, Sorebo, John, Spentzouris, Panagiotis, Steiner, Ziv, Torosov, Boyan, Venturelli, Davide, Visser, Robert J., Webb, Zak, Zhan, Xin, Cohen, Yonatan, Ronagh, Pooya, Ho, Alan, Beausoleil, Raymond G., Martinis, John M.
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become possible for quantum algorithmic primitives on hundreds of physical qubi
Externí odkaz:
http://arxiv.org/abs/2411.10406
Autor:
Hu, Yan, Zuo, Xu, Zhou, Yujia, Peng, Xueqing, Huang, Jimin, Keloth, Vipina K., Zhang, Vincent J., Weng, Ruey-Ling, Chen, Qingyu, Jiang, Xiaoqian, Roberts, Kirk E., Xu, Hua
Backgrounds: Information extraction (IE) is critical in clinical natural language processing (NLP). While large language models (LLMs) excel on generative tasks, their performance on extractive tasks remains debated. Methods: We investigated Named En
Externí odkaz:
http://arxiv.org/abs/2411.10020
Autor:
Schreck, John, Sha, Yingkai, Chapman, William, Kimpara, Dhamma, Berner, Judith, McGinnis, Seth, Kazadi, Arnold, Sobhani, Negin, Kirk, Ben, Gagne II, David John
Recent advancements in artificial intelligence (AI) for numerical weather prediction (NWP) have significantly transformed atmospheric modeling. AI NWP models outperform traditional physics-based systems, such as the Integrated Forecast System (IFS),
Externí odkaz:
http://arxiv.org/abs/2411.07814