Zobrazeno 1 - 10
of 19 494
pro vyhledávání: '"A Buchmann"'
Autor:
Aydin, Irem, Diebel-Fischer, Hermann, Freiberger, Vincent, Möller-Klapperich, Julia, Buchmann, Erik, Färber, Michael, Lauber-Rönsberg, Anne, Platow, Birte
The growing use of Machine Learning and Artificial Intelligence (AI), particularly Large Language Models (LLMs) like OpenAI's GPT series, leads to disruptive changes across organizations. At the same time, there is a growing concern about how organiz
Externí odkaz:
http://arxiv.org/abs/2410.08381
In this paper, we propose the Hierarchical Document Transformer (HDT), a novel sparse Transformer architecture tailored for structured hierarchical documents. Such documents are extremely important in numerous domains, including science, law or medic
Externí odkaz:
http://arxiv.org/abs/2407.08330
LLMs can help humans working with long documents, but are known to hallucinate. Attribution can increase trust in LLM responses: The LLM provides evidence that supports its response, which enhances verifiability. Existing approaches to attribution ha
Externí odkaz:
http://arxiv.org/abs/2407.07799
Autor:
Jerger, M., Motzoi, F., Gao, Y., Dickel, C., Buchmann, L., Bengtsson, A., Tancredi, G., Warren, C. W., Bylander, J., DiVincenzo, D., Barends, R., Bushev, P. A.
A key challenge in quantum computing is speeding up measurement and initialization. Here, we experimentally demonstrate a dispersive measurement method for superconducting qubits that simultaneously measures the qubit and returns the readout resonato
Externí odkaz:
http://arxiv.org/abs/2406.04891
Autor:
Freiberger, Vincent, Buchmann, Erik
Privacy policies are expected to inform data subjects about their data protection rights and should explain the data controller's data management practices. Privacy policies only fulfill their purpose, if they are correctly interpreted, understood, a
Externí odkaz:
http://arxiv.org/abs/2403.08115
Machine learning on large-scale genomic or transcriptomic data is important for many novel health applications. For example, precision medicine tailors medical treatments to patients on the basis of individual biomarkers, cellular and molecular state
Externí odkaz:
http://arxiv.org/abs/2402.14527
Long documents often exhibit structure with hierarchically organized elements of different functions, such as section headers and paragraphs. Despite the omnipresence of document structure, its role in natural language processing (NLP) remains opaque
Externí odkaz:
http://arxiv.org/abs/2401.17658
Autor:
Abu-Rasheed, Hasan, Dornhöfer, Mareike, Weber, Christian, Kismihók, Gábor, Buchmann, Ulrike, Fathi, Madjid
Publikováno v:
2023 IEEE International Conference on Advanced Learning Technologies (ICALT)
Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an application- and analysis objective. While hierarchical data models a
Externí odkaz:
http://arxiv.org/abs/2401.13609
Autor:
Freiberger, Vincent, Buchmann, Erik
Natural Language Processing (NLP) plays an important role in our daily lives, particularly due to the enormous progress of Large Language Models (LLM). However, NLP has many fairness-critical use cases, e.g., as an expert system in recruitment or as
Externí odkaz:
http://arxiv.org/abs/2401.01262
Autor:
J. A. Nelson, S. Walther, F. Gans, B. Kraft, U. Weber, K. Novick, N. Buchmann, M. Migliavacca, G. Wohlfahrt, L. Šigut, A. Ibrom, D. Papale, M. Göckede, G. Duveiller, A. Knohl, L. Hörtnagl, R. L. Scott, W. Zhang, Z. M. Hamdi, M. Reichstein, S. Aranda-Barranco, J. Ardö, M. Op de Beeck, D. Billesbach, D. Bowling, R. Bracho, C. Brümmer, G. Camps-Valls, S. Chen, J. R. Cleverly, A. Desai, G. Dong, T. S. El-Madany, E. S. Euskirchen, I. Feigenwinter, M. Galvagno, G. A. Gerosa, B. Gielen, I. Goded, S. Goslee, C. M. Gough, B. Heinesch, K. Ichii, M. A. Jackowicz-Korczynski, A. Klosterhalfen, S. Knox, H. Kobayashi, K.-M. Kohonen, M. Korkiakoski, I. Mammarella, M. Gharun, R. Marzuoli, R. Matamala, S. Metzger, L. Montagnani, G. Nicolini, T. O'Halloran, J.-M. Ourcival, M. Peichl, E. Pendall, B. Ruiz Reverter, M. Roland, S. Sabbatini, T. Sachs, M. Schmidt, C. R. Schwalm, A. Shekhar, R. Silberstein, M. L. Silveira, D. Spano, T. Tagesson, G. Tramontana, C. Trotta, F. Turco, T. Vesala, C. Vincke, D. Vitale, E. R. Vivoni, Y. Wang, W. Woodgate, E. A. Yepez, J. Zhang, D. Zona, M. Jung
Publikováno v:
Biogeosciences, Vol 21, Pp 5079-5115 (2024)
Mapping in situ eddy covariance measurements of terrestrial land–atmosphere fluxes to the globe is a key method for diagnosing the Earth system from a data-driven perspective. We describe the first global products (called X-BASE) from a newly imple
Externí odkaz:
https://doaj.org/article/979b6150c84c459493a11c5608efe02b
