Sina Zarrieß

Sina Zarrieß

sina.zarriess@uni-bielefeld.de
Institution: Bielefeld University
Department: Bielefeld Faculty of Linguistics & Literary Studies
Position: Professor of Computational Linguistics
https://sinazarriess.github.io/

Natural language generation, language & vision, dialogue, computational semantics and pragmatics, computational models of reference in context, visual language grounding at the word, sentence and document level

  • Subword models struggle with word learning, but surprisal hides it (2025)

    Authors: Bastian Bunzeck, Sina Zarrieß

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics (Volume: 2)
    DOI: 10.18653/v1/2025.acl-short.24

  • SCENEGRAM: Conceptualizing and Describing Tangrams in Scene Context (2025)

    Authors: Simeon Junker, Sina Zarrieß

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics
    DOI: 10.18653/v1/2025.findings-acl.1229

  • Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions (2025)

    Authors: Clara Lachenmaier, Judith Sieker, Sina Zarrieß

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics (Volume: 1)
    DOI: 10.18653/v1/2025.acl-long.728

  • Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them (2025)

    Authors: Marc Brinner, Tarek Al Mustafa, Sina Zarrieß

    Published at: Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Findings of Emnlp 2025
    DOI: 10.18653/v1/2025.findings-emnlp.1238

  • Small Language Models Also Work With Small Vocabularies: Probing the Linguistic Abilities of Grapheme- and Phoneme-Based Baby Llamas (2025)

    Authors: Bastian Bunzeck, Daniel Duran, Leonie Schade, Sina Zarrieß

    Published at: Proceedings International Conference on Computational Linguistics Coling

  • Are Multimodal Large Language Models Pragmatically Competent Listeners in Simple Reference Resolution Tasks? (2025)

    Authors: Simeon Junker, Manar Ali, Larissa Koch, Sina Zarrieß, Hendrik Buschmeier

    Published at: Proceedings of the Annual Meeting of the Association for Computational Linguistics
    DOI: 10.18653/v1/2025.findings-acl.1236

  • Towards Understanding the Entanglement of Human Stereotypes and System Biases in Human-Robot Interaction (2024)

    Authors: Clara Lachenmaier, Eleonore Lumer, Hendrik Buschmeier, Sina Zarrieß

    Published at: ACM IEEE International Conference on Human Robot Interaction
    DOI: 10.1145/3610978.3640736

  • Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training (2024)

    Authors: Marc Brinner, Sina Zarrieß

    Published at: Emnlp 2024 2024 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference
    DOI: 10.18653/v1/2024.emnlp-main.664

  • The SlayQA Benchmark of Social Reasoning: Testing Gender-inclusive Generalization with Neopronouns (2024)

    Authors: Bastian Bunzeck, Sina Zarrieß

    Published at: Genbench 2024 Genbench 2nd Workshop on Generalisation Benchmarking in Nlp Proceedings of the Workshop

  • Resilience through Scene Context in Visual Referring Expression Generation (2024)

    Authors: Simeon Junker, Sina Zarrieß

    Published at: Inlg 2024 17th International Natural Language Generation Conference Proceedings of the Conference
    DOI: 10.18653/v1/2024.inlg-main.29