| 2024 | ACL | LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback. | Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth |
| 2023 | ACL | To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support. | Gabriella Skitalinskaya, Henning Wachsmuth |
| 2023 | INLG | Claim Optimization in Computational Argumentation. | Gabriella Skitalinskaya, Maximilian Spliethver, Henning Wachsmuth |
| 2022 | ECSCW | Co-Creating a Research Data Infrastructure with Social Policy Researchers. | Gabriela Molina Len, Gabriella Skitalinskaya, Nils Dpont, Jonas Klaff, Anton Schlegel, Hendrik Heuer, Andreas Breiter |
| 2021 | EACL | Learning From Revisions: Quality Assessment of Claims in Argumentation at Scale. | Gabriella Skitalinskaya, Jonas Klaff, Henning Wachsmuth |
| 2018 | CICLING | Classifiers for Yelp-Reviews Based on GMDH-Algorithms. | Mikhail Alexandrov, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, Elena Shushkevich |
| 2018 | CICLING | Multilabel Text Classification of Unbalanced Datasets: Two-Pass NNMF. | Gabriella Skitalinskaya, John Cardiff |
| 2017 | CSIT | Extended list of stop words: Does it work for keyphrase extraction from short texts? | Svetlana Popova, Gabriella Skitalinskaya |
| 2016 | CIARP | Selection of Statistically Representative Subset from a Large Data Set. | Javier Tejada, Mikhail Alexandrov, Gabriella Skitalinskaya, Dmitry Stefanovskiy |