Zobrazeno 1 - 10
of 2 841
pro vyhledávání: '"Fröhling, A."'
With the release of ever more capable large language models (LLMs), researchers in NLP and related disciplines have started to explore the usability of LLMs for a wide variety of different annotation tasks. Very recently, a lot of this attention has
Externí odkaz:
http://arxiv.org/abs/2412.16783
Autor:
Bernardelle, Pietro, Fröhling, Leon, Civelli, Stefano, Lunardi, Riccardo, Roitero, Kevin, Demartini, Gianluca
The analysis of political biases in large language models (LLMs) has primarily examined these systems as single entities with fixed viewpoints. While various methods exist for measuring such biases, the impact of persona-based prompting on LLMs' poli
Externí odkaz:
http://arxiv.org/abs/2412.14843
We present a novel approach for enhancing diversity and control in data annotation tasks by personalizing large language models (LLMs). We investigate the impact of injecting diverse persona descriptions into LLM prompts across two studies, exploring
Externí odkaz:
http://arxiv.org/abs/2410.11745
Autor:
Yu, Zehui, Sen, Indira, Assenmacher, Dennis, Samory, Mattia, Fröhling, Leon, Dahn, Christina, Nozza, Debora, Wagner, Claudia
Machine learning (ML)-based content moderation tools are essential to keep online spaces free from hateful communication. Yet, ML tools can only be as capable as the quality of the data they are trained on allows them. While there is increasing evide
Externí odkaz:
http://arxiv.org/abs/2405.08562
Autor:
Fröhling, Leon, Sen, Indira, Soldner, Felix, Steinbrinker, Leonie, Zens, Maria, Weller, Katrin
This paper proposes a template for documenting datasets that have been collected from online platforms for research purposes. The template should help to critically reflect on data quality and increase transparency in research fields that make use of
Externí odkaz:
http://arxiv.org/abs/2306.14219
Autor:
Chanda, Tirtha, Hauser, Katja, Hobelsberger, Sarah, Bucher, Tabea-Clara, Garcia, Carina Nogueira, Wies, Christoph, Kittler, Harald, Tschandl, Philipp, Navarrete-Dechent, Cristian, Podlipnik, Sebastian, Chousakos, Emmanouil, Crnaric, Iva, Majstorovic, Jovana, Alhajwan, Linda, Foreman, Tanya, Peternel, Sandra, Sarap, Sergei, Özdemir, İrem, Barnhill, Raymond L., Velasco, Mar Llamas, Poch, Gabriela, Korsing, Sören, Sondermann, Wiebke, Gellrich, Frank Friedrich, Heppt, Markus V., Erdmann, Michael, Haferkamp, Sebastian, Drexler, Konstantin, Goebeler, Matthias, Schilling, Bastian, Utikal, Jochen S., Ghoreschi, Kamran, Fröhling, Stefan, Krieghoff-Henning, Eva, Brinker, Titus J.
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma poses severe obstacles to user acceptance. Explainable artificial int
Externí odkaz:
http://arxiv.org/abs/2303.12806
The characterization and detection of bots with their presumed ability to manipulate society on social media platforms have been subject to many research endeavors over the last decade. In the absence of ground truth data (i.e., accounts that are lab
Externí odkaz:
http://arxiv.org/abs/2302.00546
Autor:
Federico Nichetti, Marco Silvestri, Luca Agnelli, Andrea Franza, Chiara Pircher, Simone Rota, Paolo Ambrosini, Giuseppe Fotia, Jennifer Hüllein, Giovanni Randon, Panna Lajer, Federica Perrone, Elena Tamborini, Giuseppe Leoncini, Jorgelina Coppa, Michele Droz Dit Busset, Sara Pusceddu, Massimo Milione, Federica Morano, Filippo Pietrantonio, Giancarlo Pruneri, Vincenzo Mazzaferro, Daniel B. Lipka, Bruno Christian Köhler, Daniel Hübschmann, Stefan Fröhling, Filippo deBraud, Monica Niger
Publikováno v:
Cancer Medicine, Vol 13, Iss 23, Pp n/a-n/a (2024)
ABSTRACT Background The identification of actionable molecular targets of pancreatic cancer (PAC) is key to improving patient outcomes. We hypothesized O6‐methylguanine‐DNA methyltransferase (MGMT) silencing may occur in a subset of PAC tumors, w
Externí odkaz:
https://doaj.org/article/3eb55c237a314b16a53fe6575369b7af
Publikováno v:
Advances in Applied Energy, Vol 16, Iss , Pp 100195- (2024)
Bidirectional charging, such as Vehicle-to-Grid, is increasingly seen as a way to integrate the growing number of battery electric vehicles into the energy system. The electrical storage capacity in the system can be enhanced by using electric vehicl
Externí odkaz:
https://doaj.org/article/c63d6cbb3a35474e8cc4345b00513107
Autor:
Fröhling, Tobias1 (AUTHOR), Semo, Dilvin1 (AUTHOR) dilvin.semo@ukmuenster.de, Mirna, Moritz2 (AUTHOR), Paar, Vera2 (AUTHOR), Shomanova, Zornitsa3,4 (AUTHOR) zornitsa.shomanova@ukmuenster.de, Motloch, Lukas J.5,6,7 (AUTHOR), Rukosujew, Andreas3 (AUTHOR) andreas.rukosujew@ukmuenster.de, Sindermann, Jürgen R.1,4 (AUTHOR), Lichtenauer, Michael2 (AUTHOR), Pistulli, Rudin1,4 (AUTHOR) dilvin.semo@ukmuenster.de
Publikováno v:
Journal of Clinical Medicine. Nov2024, Vol. 13 Issue 22, p6866. 11p.