Publications

Niklas Deckers, Julia Peters, and Martin Potthast. Manipulating Embeddings of Stable Diffusion Prompts. In Kate Larson (Eds.), 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 7636--7644, International Joint Conferences on Artificial Intelligence Organization, August 2024. [PUMA: Embeddings Prompts StableDiffusion topic_language yaff] URL

Daria Alexander, Maik Fröbe, Ferdinand Schlatt, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, and Arjen Paul de Vries. Team OpenWebSearch at CLEF 2024: LongEval. Working Notes Papers of the CLEF 2024 Evaluation Labs, September 2024. [PUMA: topic_language yaff]

Tim Hagen, Harrisen Scells, and Martin Potthast. Revisiting Query Variation Robustness of Transformer Models. 29th Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) (Findings), Association for Computational Linguistics, December 2024. [PUMA: topic_language yaff]

Robert Haase. Towards Transparency and Knowledge Exchange in AI-assisted Data Analysis Code Generation. Nature Computational Science, (5)4October 2024. [PUMA: topic_language topic_lifescience unit_transfer xack yaff] URL

Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, and Martin Potthast. Evaluating Generative Ad Hoc Information Retrieval. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1916–1929, ACM, July 2024. [PUMA: topic_language xack yaff] URL

Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Munoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, and Leandro von Werra. SantaCoder: don't reach for the stars!. 2023. [PUMA: imported topic_language yaff] URL

Niklas Deckers, and Martin Potthast. Towards the Reproducible Evaluation of Generative Information Retrieval Systems. Workshop on the impact of generative AI on search and search engine research, September 2023. [PUMA: imported nopdf topic_language]

Tim Gollub, Jason Brockmeyer, Benno Stein, and Martin Potthast. Dynamic Exploratory Search for the Information Retrieval Anthology. European Conference on Information Retrieval, 242--247, 2023. [PUMA: imported topic_language zno]

Benno Stein, Arno Simons, Martin Potthast, Saskia Hagen, and Kai Wörner. Protokoll 24. ChatGPT und andere »Quatschmaschinen«, 170–191, transcript Verlag, October 2023. [PUMA: imported topic_language zno] URL

Vahid Sadiri Javadi, Martin Potthast, and Lucie Flek. OpinionConv: Conversational Product Search with Grounded Opinions. Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 66–76, Association for Computational Linguistics, 2023. [PUMA: imported topic_language yaff] URL

Shahbaz Syed, Dominik Schwabe, Khalid Khatib, and Martin Potthast. Indicative Summarization of Long Discussions. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2752–2788, Association for Computational Linguistics, 2023. [PUMA: imported topic_language yaff] URL

Matti Wiegmann, Magdalena Wolska, Martin Potthast, and Benno Stein. Overview of the Trigger Detection Task at PAN 2023.. CLEF (Working Notes), 2523--2536, 2023. [PUMA: imported topic_language yaff]

Ines Zelch, Matthias Hagen, and Martin Potthast. Commercialized Generative AI: A Critical Study of the Feasibility and Ethics of Generating Native Advertising Using Large Language Models in Conversational Web Search. 2023. [PUMA: imported topic_language yaff] URL

Shuai Wang, Harrisen Scells, Martin Potthast, Bevan Koopman, and Guido Zuccon. Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. 2023. [PUMA: imported topic_language yaff] URL

Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast, and Henning Wachsmuth. Modeling Appropriate Language in Argumentation. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 4344–4363, Association for Computational Linguistics, 2023. [PUMA: imported topic_language zno] URL

Ines Zelch, Matthias Hagen, and Martin Potthast. Advertising in Generative Information Retrieval. Workshop on the Impact of Generative AI on Search and Search Engine Research, September 2023. [PUMA: imported nopdf topic_language]

Khalid Al Khatib, Michael Voelske, Anh Le, Shahbaz Syed, Martin Potthast, and Benno Stein. A New Dataset for Causality Identification in Argumentative Texts. Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 349–354, Association for Computational Linguistics, 2023. [PUMA: imported topic_language yaff] URL

Aleksandra Piktus, Odunayo Ogundepo, Christopher Akiki, Akintunde Oladipo, Xinyu Zhang, Hailey Schoelkopf, Stella Biderman, Martin Potthast, and Jimmy Lin. GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 588–598, Association for Computational Linguistics, 2023. [PUMA: imported topic_language yaff] URL

Lukas Gienapp, Wolfgang Kircheis, Bjarne Sievers, Benno Stein, and Martin Potthast. A large dataset of scientific text reuse in Open-Access publications. Scientific Data, (10)1:58, Nature Publishing Group UK London, 2023. [PUMA: imported topic_language yaff]

Efstathios Stamatatos, Krzysztof Kredens, Piotr Pezik, Annina Heini, Janek Bevendorff, Benno Stein, and Martin Potthast. Overview of the Authorship Verification Task at PAN 2023. In Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, and Michalis Vlachos (Eds.), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), (3497):2476--2491, September 2023. [PUMA: imported topic_language zno] URL