Publications

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]

Nandan Thakur, Luiz Bonifacio, Maik Fröbe, Alexander Bondarenko, Ehsan Kamalloo, Martin Potthast, Matthias Hagen, and Jimmy Lin. Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1420–1430, ACM, July 2024. [PUMA: imported topic_language yaff] URL

Michael Granitzer, Stefan Voigt, Noor Afshan Fathima, Martin Golasowski, Christian Guetl, Tobias Hecking, Gijs Hendriksen, Djoerd Hiemstra, Jan Martinovic, Jelena Mitrović, and others. Impact and development of an Open Web Index for open web search. Journal of the Association for Information Science and Technology, (75)5:512--520, Wiley Online Library, 2024. [PUMA: imported topic_language yaff]

Sheikh Mastura Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, and Saber Zerhoudi. The First International Workshop on Open Web Search (WOWS). European Conference on Information Retrieval, 426--431, 2024. [PUMA: imported topic_language yaff]

Shahbaz Syed, Ahmad Hakimi, Khalid Al-Khatib, and Martin Potthast. Citance-Contextualized Summarization of Scientific Papers. In Houda Bouamor, Juan Pino, and Kalika Bali (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, 8551--8568, Association for Computational Linguistics, Singapore, December 2023. [PUMA: imported topic_language yaff] URL

Maik Fröbe, Harrisen Scells, Theresa Elstner, Christopher Akiki, Lukas Gienapp, Jan Heinrich Reimer, Sean MacAvaney, Benno Stein, Matthias Hagen, and Martin Potthast. Resources for Combining Teaching and Research in Information Retrieval Coursework. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1115–1125, ACM, July 2024. [PUMA: topic_language yaff] URL

Shahbaz Syed, Khalid Al Khatib, and Martin Potthast. TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization. In Nikolaos Aletras, and Orphee De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 195--206, Association for Computational Linguistics, St. Julians, Malta, March 2024. [PUMA: topic_language yaff] URL

Eva Zangerle, Maximilian Mayerl, Martin Potthast, and Benno Stein. Overview of the Multi-Author Writing Style Analysis Task at PAN 2023.. CLEF (Working Notes), 2513--2522, 2023. [PUMA: topic_language yaff]

Abinew Ali Ayele, Nikolay Babakov, Janek Bevendorff, Xavier Bonet Casals, Berta Chulvi, Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korencić, and others. Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. International Conference of the Cross-Language Evaluation Forum for European Languages, 231--259, 2024. [PUMA: topic_language yaff]

Johannes Kiesel, Cagrı Cöltekin, Maximilian Heinrich, Maik Fröbe, Milad Alshomary, Bertrand De Longueville, Tomaz Erjavec, Nicolas Handke, Matyás Kopp, Nikola Ljubesić, and others. Overview of Touché 2024: Argumentation Systems. 2024. [PUMA: topic_language yaff]

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

Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, and Matthias Hagen. A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking. arXiv, 2024. [PUMA: topic_language yaff]

Theresa Elstner, Bärbel Hanle, Frank Loebe, Maik Fröbe, Nikolay Kolyada, Janis Mohr, Jörg Frochte, Sven Hofmann, Benno Stein, and Martin Potthast. Classification of Shared Tasks Used in Teaching. Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, ACM, New York, NY, USA, July 2024. [PUMA: topic_knowledge topic_language yaff]

Marcel Gohsen, Matthias Hagen, Martin Potthast, and Benno Stein. Task-Oriented Paraphrase Analytics. arXiv, 2024. [PUMA: topic_language yaff]

Ines Zelch, Matthias Hagen, and Martin Potthast. A User Study on the Acceptance of Native Advertising in Generative IR. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 142–152, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: Advertising Generative LLMs Search information retrieval topic_language yaff] URL

Sebastian Schmidt, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, and Martin Potthast. Detecting Generated Native Ads in Conversational Search. Companion Proceedings of the ACM on Web Conference 2024, (5):722–725, ACM, May 2024. [PUMA: topic_language yaff] URL

Maik Fröbe, Joel Mackenzie, Bhaskar Mitra, Franco Maria Nardini, and Martin Potthast. ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (31):3051--3054, ACM, New York, NY, USA, July 2024. [PUMA: topic_language yaff]

Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Product Spam on YouTube: A Case Study. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 358–363, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: Content Quality SEO Spam Web YouTube topic_language yaff] URL

Janek Bevendorff, Matti Wiegmann, Martin Potthast, and Benno Stein. Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines. Lecture Notes in Computer Science, 56--71, Springer Nature Switzerland, Cham, 2024. [PUMA: topic_language yaff]