Anastasiia Sedova

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I am a final-year PhD student in the NLP Lab at the University of Vienna, Data Mining and Machine Learning Research Group, where I am advised by Ben Roth, working on machine learning and natural language processing. Previously, I completed my M.Sc. degrees in Computational Linguistics and Computer Science in the Center for Information and Language Processing at LMU Munich with a full scholarship from the German Academic Exchange Service.

My research interests include (but not limited to) noisy and low-resource learning and model explainability and trustworthiness.

news

Apr 07, 2025 Extremely excited to start an internship at Machine Learning Research at Apple! I will work with Maartje Ter Hoeve and Natalie Schluter.
Sep 20, 2024 Our paper To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity was accepted to EMNLP 2024 Findings! A joint work with MaiNLP lab.
May 20, 2024 I gave an invited tutorial at the Department of Statistics at LMU Munich.
Feb 01, 2024 This February I will spend in Munich for a one-month research stay at Hinrich Schütze’s Lab.
Oct 07, 2023 Our paper ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision was accepted to EMNLP 2023! See you in Singapore!
Sep 28, 2023 I am in Copenhagen to give an invited tutorial at Aalborg University. Check out the materials.
Jun 06, 2023 Our paper Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal was accepted to ECML PKDD 2023!
May 27, 2023 Our paper ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion was accepted to ACL 2023! Check out the poster.
Jan 20, 2023 I gave an invited talk at the Technical University of Vienna on the potential application and future perspectives of weak supervision.

selected publications

  1. to-know-or-not-to-know.png
    To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity
    Anastasiia Sedova, Robert Litschko, Diego Frassinelli, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024
  2. agra_preview.png
    Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
    Anastasiia Sedova, Lena Zellinger, and Benjamin Roth
    In Machine Learning and Knowledge Discovery in Databases: Research Track, Nov 2023
  3. ulf_preview.png
    ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
    Anastasiia Sedova and Benjamin Roth
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023
  4. actc_preview.png
    ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
    Anastasiia Sedova and Benjamin Roth
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), Jul 2023
  5. knodle.png
    Knodle: Modular Weakly Supervised Learning with PyTorch
    Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, and 1 more author
    In Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), Aug 2021