Zobrazeno 1 - 10
of 4 012
pro vyhledávání: '"Müller, Jürgen"'
Autor:
Besta, Maciej, Scheidl, Florian, Gianinazzi, Lukas, Klaiman, Shachar, Müller, Jürgen, Hoefler, Torsten
Higher-order graph neural networks (HOGNNs) are an important class of GNN models that harness polyadic relations between vertices beyond plain edges. They have been used to eliminate issues such as over-smoothing or over-squashing, to significantly e
Externí odkaz:
http://arxiv.org/abs/2406.12841
Autor:
Besta, Maciej, Kubicek, Ales, Niggli, Roman, Gerstenberger, Robert, Weitzendorf, Lucas, Chi, Mingyuan, Iff, Patrick, Gajda, Joanna, Nyczyk, Piotr, Müller, Jürgen, Niewiadomski, Hubert, Chrapek, Marcin, Podstawski, Michał, Hoefler, Torsten
Retrieval Augmented Generation (RAG) enhances the abilities of Large Language Models (LLMs) by enabling the retrieval of documents into the LLM context to provide more accurate and relevant responses. Existing RAG solutions do not focus on queries th
Externí odkaz:
http://arxiv.org/abs/2406.05085
Autor:
HosseiniArani, Alireza, Schilling, Manuel, Tennstedt, Benjamin, Kupriyanov, Alexey, Beaufils, Quentin, Knabe, Annike, Sreekantaiah, Arpetha C., Santos, Franck Pereira dos, Schön, Steffen, Müller, Jürgen
Cold atom interferometry (CAI)-based quantum accelerometers are very promising for future satellite gravity missions thanks to their strength in providing long-term stable and precise measurements of non-gravitational accelerations. However, their li
Externí odkaz:
http://arxiv.org/abs/2405.11259
Autor:
Prosperetti, Leopoldine
Publikováno v:
Renaissance Quarterly, 2020 Dec 01. 73(4), 1362-1363.
Externí odkaz:
https://www.jstor.org/stable/27053075
Autor:
HosseiniArania, Alireza, Schilling, Manuel, Beaufils, Quentin, Knabe, Annike, Tennstedt, Benjamin, Kupriyanov, Alexey, Schön, Steffen, Santos, Franck Pereira dos, Müller, Jürgen
Recent advances in cold atom interferometry have cleared the path for space applications of quantum inertial sensors, whose level of stability is expected to increase dramatically with the longer interrogation times accessible in space. In this study
Externí odkaz:
http://arxiv.org/abs/2404.10471
Autor:
Besta, Maciej, Memedi, Florim, Zhang, Zhenyu, Gerstenberger, Robert, Piao, Guangyuan, Blach, Nils, Nyczyk, Piotr, Copik, Marcin, Kwaśniewski, Grzegorz, Müller, Jürgen, Gianinazzi, Lukas, Kubicek, Ales, Niewiadomski, Hubert, O'Mahony, Aidan, Mutlu, Onur, Hoefler, Torsten
The field of natural language processing (NLP) has witnessed significant progress in recent years, with a notable focus on improving large language models' (LLM) performance through innovative prompting techniques. Among these, prompt engineering cou
Externí odkaz:
http://arxiv.org/abs/2401.14295