Published in In the proceedings of arXiv, 2025
arXiv:2501.05122 [cs]
Recommended citation: Gregor Geigle*, Florian Schneider*, Carolin Holtermann, Chris Biemann, Radu Timofte, Anne Lauscher, Goran Glavaš, "Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model." In the proceedings of arXiv, 2025.
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Published in In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Recommended citation: Musashi Hinck, Carolin Holtermann, Matthew Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal, "Why do LLaVA Vision-Language Models Reply to Images in English?." In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024.
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Published in In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Recommended citation: Florian Schneider, Sunayana Sitaram, "M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks." In the proceedings of Findings of the Association for Computational Linguistics: EMNLP 2024, 2024.
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Published in In the proceedings of Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR), 2024
Recommended citation: Florian Schneider, Chris Biemann, "WISMIR3: A Multi-Modal Dataset to Challenge Text-Image Retrieval Approaches." In the proceedings of Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR), 2024.
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Published in In the proceedings of Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024
Recommended citation: Jan Strich, Florian Schneider, Irina Nikishina, Chris Biemann, "On Improving Repository-Level Code QA for Large Language Models." In the proceedings of Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2024.
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Published in In the proceedings of Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), 2024
Recommended citation: Selenia Anastasi, Florian Schneider, Chris Biemann, Tim Fischer, "VIDA: The Visual Incel Data Archive. A Theory-oriented Annotated Dataset To Enhance Hate Detection Through Visual Culture." In the proceedings of Proceedings of the 8th Workshop on Online Abuse and Harms (WOAH 2024), 2024.
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Published in In the proceedings of Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024
Recommended citation: Tim Fischer, Florian Schneider, Fynn Petersen-Frey, Anja Haque, Isabel Eiser, Gertraud Koch, Chris Biemann, "Extending the Discourse Analysis Tool Suite with Whiteboards for Visual Qualitative Analysis." In the proceedings of Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024.
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Published in In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations), 2024
Recommended citation: Tim Fischer, Florian Schneider, Robert Geislinger, Florian Helfer, Gertraud Koch, Chris Biemann, "Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis." In the proceedings of Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations), 2024.
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Published in In the proceedings of Proceedings of the 12th Knowledge Capture Conference 2023, 2023
Recommended citation: Florian Schneider, Sarthak Dash, Sugato Bagchi, Nandana Mihindukulasooriya, Alfio Gliozzo, "NLFOA: Natural Language Focused Ontology Alignment." In the proceedings of Proceedings of the 12th Knowledge Capture Conference 2023, 2023.
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Published in In the proceedings of Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023
Recommended citation: Fynn Petersen-Frey, Tim Fischer, Florian Schneider, Isabel Eiser, Gertraud Koch, Chris Biemann, "From Qualitative to Quantitative Research: Semi-Automatic Annotation Scaling in the Digital Humanities." In the proceedings of Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023.
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Published in In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2023
Recommended citation: Florian Schneider, Seid Yimam, Fynn Petersen-frey, Gerret Von, Katharina Kleinen-von, Chris Biemann, "CodeAnno: Extending WebAnno with Hierarchical Document Level Annotation and Automation." In the proceedings of Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2023.
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Published in In the proceedings of Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023
Recommended citation: Florian Schneider, Tim Fischer, Fynn Petersen-Frey, Isabel Eiser, Gertraud Koch, Chris Biemann, "The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis." In the proceedings of Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023.
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Published in In the proceedings of Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023
Recommended citation: Florian Schneider, Chris Biemann, "LT at SemEval-2023 Task 1: Effective Zero-Shot Visual Word Sense Disambiguation Approaches using External Knowledge Sources." In the proceedings of Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), 2023.
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Published in In the proceedings of Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022
Recommended citation: Florian Schneider, Chris Biemann, "Golden Retriever: A Real-Time Multi-Modal Text-Image Retrieval System with the Ability to Focus." In the proceedings of Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022.
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Published in In the proceedings of Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Recommended citation: Xintong Wang, Florian Schneider, Özge Alacam, Prateek Chaudhury, Chris Biemann, "MOTIF: Contextualized Images for Complex Words to Improve Human Reading." In the proceedings of Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022.
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Published in In the proceedings of Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, 2022
Recommended citation: Anton Wiehe, Florian Schneider, Sebastian Blank, Xintong Wang, Hans-Peter Zorn, Christian Biemann, "Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays." In the proceedings of Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop, 2022.
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Published in In the proceedings of Culture and Computing, 2022
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Recommended citation: Gertraud Koch, Chris Biemann, Isabel Eiser, Tim Fischer, Florian Schneider, Teresa Stumpf, Alejandra Tijerina, "D-WISE Tool Suite for the Sociology of Knowledge Approach to Discourse." In the proceedings of Culture and Computing, 2022.
Published in In the proceedings of Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021
Recommended citation: Florian Schneider, Özge Alaçam, Xintong Wang, Chris Biemann, "Towards Multi-Modal Text-Image Retrieval to improve Human Reading." In the proceedings of Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021.
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