Publications

Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, Xiaoyu Shen, Benjamin Roth (2024). From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks. In ArXiv.

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Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz De Araujo, Dominik Répás, Claudia Plant, Benjamin Roth (2024). Text-Guided Alternative Image Clustering. In RepL4NLP@ACL2024.

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Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth (2024). Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. In BioNLP@ACL2024.

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Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant (2024). The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. In WWW ‘24.

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Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth (2024). Text-Guided Image Clustering. In EACL-2024.

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Lena Zellinger, Andreas Stephan, Benjamin Roth (2024). Counterfactual Reasoning with Knowledge Graph Embeddings. In EACL-2024.

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Andreas Baumann, Andreas Stephan, Benjamin Roth (2023). Seeing through the mess: evolutionary dynamics of lexical polysemy. In EMNLP-2023.

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Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick (2023). Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. In IAL@ECML-PKDD-23.

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Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow (2023). Weaker Than You Think: A Critical Look at Weakly Supervised Learning. In ACL-2023.

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Andreas Stephan, Vasiliki Kougia, Benjamin Roth (2022). SepLL: Separating Latent Class Labels from Weak Supervision Noise. In EMNLP-2022.

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Andreas Stephan, Benjamin Roth (2022). WeaNF: Weak Supervision with Normalizing Flows. In Repl4NLP-2022.

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Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth (2021). Knodle: Modular Weakly Supervised Learning with PyTorch. In Repl4NLP-2021.

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