Zobrazeno 1 - 10
of 6 499
pro vyhledávání: '"A. Rühle"'
Autor:
N. Gleim, A. Rühle, S. Heider, F. Nägler, F.A. Giordano, S.E. Combs, J. Becker, M. Niyazi, A.L. Grosu, N.H. Nicolay, C. Seidel
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 47, Iss , Pp 100783- (2024)
Background and purpose: Many patients with solid tumors develop brain metastases (BM). With more patients surviving long-term, preservation of neurocognitive function gains importance. In recent years, several methods to delay cognitive deterioration
Externí odkaz:
https://doaj.org/article/ff83053a24a44aa8992e6b07f10287e3
Autor:
S. K. B. Spohn, S. Adebahr, M. Huber, C. Jenkner, R. Wiehle, B. Nagavci, C. Schmucker, E. G. Carl, R. C. Chen, W. A. Weber, M. Mix, A. Rühle, T. Sprave, N. H. Nicolay, C. Gratzke, M. Benndorf, T. Wiegel, J. Weis, D. Baltas, A. L. Grosu, C. Zamboglou
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-15 (2022)
Abstract Objective Failure rate in randomized controlled trials (RCTs) is > 50%, includes safety-problems, underpowered statistics, lack of efficacy, lack of funding or insufficient patient recruitment and is even more pronounced in oncology trials.
Externí odkaz:
https://doaj.org/article/4df0f24edbe84ea191fc61feb426fbb3
In this work, we significantly expand the web of T-dualities among heterotic NS5-brane theories with eight supercharges. This is achieved by introducing twists involving outer automorphisms of discrete gauge/flavor factors and tensor multiplet permut
Externí odkaz:
http://arxiv.org/abs/2411.05313
Autor:
Zhang, Shaokun, Zhang, Jieyu, Ding, Dujian, Garcia, Mirian Hipolito, Mallick, Ankur, Madrigal, Daniel, Xia, Menglin, Rühle, Victor, Wu, Qingyun, Wang, Chi
Recent advancements have enabled Large Language Models (LLMs) to function as agents that can perform actions using external tools. This requires registering, i.e., integrating tool information into the LLM context prior to taking actions. Current met
Externí odkaz:
http://arxiv.org/abs/2411.01643
Autor:
Blank, Nils, Reuss, Moritz, Rühle, Marcel, Yağmurlu, Ömer Erdinç, Wenzel, Fabian, Mees, Oier, Lioutikov, Rudolf
A central challenge towards developing robots that can relate human language to their perception and actions is the scarcity of natural language annotations in diverse robot datasets. Moreover, robot policies that follow natural language instructions
Externí odkaz:
http://arxiv.org/abs/2410.17772
Autor:
Shandilya, Shivam, Xia, Menglin, Ghosh, Supriyo, Jiang, Huiqiang, Zhang, Jue, Wu, Qianhui, Rühle, Victor
The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in computational efficiency. Prompt compression aims to
Externí odkaz:
http://arxiv.org/abs/2409.13035
Autor:
Jain, Kunal, Parayil, Anjaly, Mallick, Ankur, Choukse, Esha, Qin, Xiaoting, Zhang, Jue, Goiri, Íñigo, Wang, Rujia, Bansal, Chetan, Rühle, Victor, Kulkarni, Anoop, Kofsky, Steve, Rajmohan, Saravan
Large Language Model (LLM) workloads have distinct prefill and decode phases with different compute and memory requirements which should ideally be accounted for when scheduling input queries across different LLM instances in a cluster. However exist
Externí odkaz:
http://arxiv.org/abs/2408.13510
Autor:
Ruehle, Fabian, Sung, Benjamin
We connect recent conjectures and observations pertaining to geodesics, attractor flows, Laplacian eigenvalues and the geometry of moduli spaces by using that attractor flows are geodesics. For toroidal compactifications, attractor points are related
Externí odkaz:
http://arxiv.org/abs/2408.00830
Deformations of the heterotic superpotential give rise to a topological holomorphic theory with similarities to both Kodaira-Spencer gravity and holomorphic Chern-Simons theory. Although the action is cubic, it is only quadratic in the complex struct
Externí odkaz:
http://arxiv.org/abs/2406.04393
Transformer-based models have emerged as one of the most widely used architectures for natural language processing, natural language generation, and image generation. The size of the state-of-the-art models has increased steadily reaching billions of
Externí odkaz:
http://arxiv.org/abs/2405.10480