Zobrazeno 1 - 10
of 38 273
pro vyhledávání: '"P A Thomson"'
Autor:
Zhang, Ruya, Brooker, Charles, Whitehouse, Laura L. E., Thomson, Neil H., Wood, David, Tronci, Giuseppe
The mechanical competence and suturing ability of collagen-based membranes are paramount in Guided Bone Regeneration (GBR) therapy, to ensure damage-free implantation, fixation and space maintenance in vivo. However, contact with the biological mediu
Externí odkaz:
http://arxiv.org/abs/2410.13679
Autor:
Cavaleri, Luigi, Alari, Victor, Benetazzo, Alvise, Bjorkqvist, Jan-Victor, Breivik, Øyvind, Davis, Jacob, Hope, Gaute, Kleven, Atle, Leirvik, Frode, Nordam, Tor, Rabault, Jean, Rainville, E. J., Rikka, Sander, Seldal, Torunn Irene, Thomson, Jim
Air-sea exchange processes have been identified as essential for both short- and long-term atmospheric and ocean forecasts. The two phases of the fluid layer covering our planet interact across a vast range of scales that we need to explore to achiev
Externí odkaz:
http://arxiv.org/abs/2410.07813
Autor:
Ward, Francis Rhys, Yang, Zejia, Jackson, Alex, Brown, Randy, Smith, Chandler, Colverd, Grace, Thomson, Louis, Douglas, Raymond, Bartak, Patrik, Rowan, Andrew
Language models (LMs) can exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism. We formalise a behaviourist view of LM character traits: qualities such as truthfulness, sycophancy, or coherent
Externí odkaz:
http://arxiv.org/abs/2410.04272
Autor:
Zellinger, Michael J., Thomson, Matt
Deploying large language models in production requires simultaneous attention to efficiency and risk control. Prior work has shown the possibility to cut costs while maintaining similar accuracy, but has neglected to focus on risk control. By contras
Externí odkaz:
http://arxiv.org/abs/2410.02173
Autor:
Blundell, Sophie, Radford, Thomas, Ajia, Idris A., Lawson, Daniel, Yan, Xingzhao, Banakar, Mehdi, Thomson, David J., Zeimpekis, Ioannis, Muskens, Otto L.
High-performance programmable silicon photonic circuits are considered to be a critical part of next generation architectures for optical processing, photonic quantum circuits and neural networks. Low-loss optical phase change materials (PCMs) offer
Externí odkaz:
http://arxiv.org/abs/2409.12582
Purpose: Demonstrate quantitative characterization of 3D patient-specific absorbed dose distributions using Haralick texture analysis and interpret measures in terms of underlying physics and radiation dosimetry. Methods: Retrospective analysis is pe
Externí odkaz:
http://arxiv.org/abs/2409.10324
To evaluate the safety and usefulness of deployment protocols for untrusted AIs, AI Control uses a red-teaming exercise played between a protocol designer and an adversary. This paper introduces AI-Control Games, a formal decision-making model of the
Externí odkaz:
http://arxiv.org/abs/2409.07985
Two primary ways to change LLM behavior are prompting and weight updates (e.g., fine-tuning). Prompting LLMs is simple and effective, specifying the desired changes explicitly in natural language, whereas weight updates provide more expressive and pe
Externí odkaz:
http://arxiv.org/abs/2409.13697
Autor:
Hirokawa, Soichi, Lee, Heun Jin, Banks, Rachel A, Duarte, Ana I, Najma, Bibi, Thomson, Matt, Phillips, Rob
Motor-driven cytoskeletal remodeling in cellular systems can often be accompanied by a diffusive-like effect at local scales, but distinguishing the contributions of the ordering process, such as active contraction of a network, from this active diff
Externí odkaz:
http://arxiv.org/abs/2408.11216
Autor:
Meijer, Paul, Howard, Nicole, Liang, Jessica, Kelsey, Autumn, Subramanian, Sathya, Johnson, Ed, Mariz, Paul, Harvey, James, Ambrose, Madeline, Tereshchenko, Vitalii, Beaubien, Aldan, Inala, Neelima, Aggoune, Yousef, Pister, Stark, Vetto, Anne, Kinsey, Melissa, Bumol, Tom, Goldrath, Ananda, Li, Xiaojun, Torgerson, Troy, Skene, Peter, Okada, Lauren, La France, Christian, Thomson, Zach, Graybuck, Lucas
The high incidence of irreproducible research has led to urgent appeals for transparency and equitable practices in open science. For the scientific disciplines that rely on computationally intensive analyses of large data sets, a granular understand
Externí odkaz:
http://arxiv.org/abs/2408.09103