Aligning Generalisation Between Humans and Machines

no code implementations • 23 Nov 2024 • Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann

A crucial yet often overlooked aspect of these interactions is the different ways in which humans and machines generalise.

scientific discovery

LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

2 code implementations • 5 Jun 2024 • Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth

Ensuring that online discussions are civil and productive is a major challenge for social media platforms.

Few-Shot Learning Language Modeling +4

To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support

1 code implementation • 26 May 2023 • Gabriella Skitalinskaya, Henning Wachsmuth

Optimizing the phrasing of argumentative text is crucial in higher education and professional development.

Claim Optimization in Computational Argumentation

1 code implementation • 17 Dec 2022 • Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth

This requires the use of clear and fluent claims relevant to the given debate.

Language Modeling Language Modelling +1

Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale

1 code implementation • EACL 2021 • Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth

However, even if different claims share the same stance on the same topic, their assessment depends on the prior perception and weighting of the different aspects of the topic being discussed.

Ethics