Anastasiia Sedova

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. |
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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. |