Zobrazeno 1 - 10
of 2 440
pro vyhledávání: '"Ruehle A"'
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
Publikováno v:
Cancer Management and Research, Vol Volume 11, Pp 8327-8335 (2019)
B Yudhistiara,1,2 KJ Weber,1,2 PE Huber,1,3 A Ruehle,1,3 S Brons,2,4 P Haering,5 J Debus,1,2,4,6 H Hauswald1,2,4,6 1Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg 69120, Germany; 2National Center for Radiation Research i
Externí odkaz:
https://doaj.org/article/e4fdc20a8aa043fdbae986eae74d8841
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
Autor:
Behrens, Max, Farhadizadeh, Maryam, Rohde, Angelika, Rühle, Alexander, Nicolay, Nils H., Binder, Harald, Zöller, Daniela
In clinical settings, we often face the challenge of building prediction models based on small observational data sets. For example, such a data set might be from a medical center in a multi-center study. Differences between centers might be large, t
Externí odkaz:
http://arxiv.org/abs/2405.07631