Katsiaryna Mirylenka
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EDBT | In-depth Analysis of LLM-based Schema Linking. | George Katsogiannis-Meimarakis, Katsiaryna Mirylenka, Paolo Scotton, Francesco Fusco, Abdel Labbi |
| 2025 | EDBT | Towards Reliable Conversational Data Analytics. | Sihem Amer-Yahia, Jasmina Bogojeska, Roberta Facchinetti, Valeria Franceschi, Aristides Gionis, Katja Hose, Georgia Koutrika, Roger D. Kouyos, Matteo Lissandrini, Silviu Maniu, Katsiaryna Mirylenka, Davide Mottin, Themis Palpanas, Mattia Rigotti, Yannis Velegrakis |
| 2025 | EMNLP | SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models. | Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu, Katsiaryna Mirylenka, Michael R. Glass, Xiao Shou |
| 2025 | UAI | The Consistency Hypothesis in Uncertainty Quantification for Large Language Models. | Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan, Radu Marinescu, Katsiaryna Mirylenka, Nhan H. Pham, Michael R. Glass, Junkyu Lee |
| 2025 | VLDB | Grounding LLMs for Database Exploration: Intent Scoping and Paraphrasing for Robust NL2SQL. | Catalina Dragusin, Katsiaryna Mirylenka, Christoph Miksovic, Michael Glass, Nahuel Defosse, Paolo Scotton, Thomas Gschwind |
| 2024 | EMNLP | Adapting LLMs for Structured Natural Language API Integration. | Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton, Enrico Toniato, Abdel Labbi |
| 2023 | ACL | Reinforced Active Learning for Low-Resource, Domain-Specific, Multi-Label Text Classification. | Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn |
| 2022 | IJCNLP | Evaluating Pre-Trained Sentence-BERT with Class Embeddings in Active Learning for Multi-Label Text Classification. | Lukas Wertz, Jasmina Bogojeska, Katsiaryna Mirylenka, Jonas Kuhn |
| 2022 | LREC | Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification. | Lukas Wertz, Katsiaryna Mirylenka, Jonas Kuhn, Jasmina Bogojeska |
| 2021 | AAAI | Business Entity Matching with Siamese Graph Convolutional Networks. | Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin |
| 2019 | EDBT | Hidden Layer Models for Company Representations and Product Recommendations. | Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Jeff Dillon |
| 2017 | EDBT | Correlation-Aware Distance Measures for Data Series. | Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas |
| 2017 | SSDBM | Data Series Similarity Using Correlation-Aware Measures. | Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas |
| 2016 | EDBT | Characterizing Home Device Usage From Wireless Traffic Time Series. | Katsiaryna Mirylenka, Vassilis Christophides, Themis Palpanas, Ioannis Pefkianakis, Martin May |
| 2013 | ICDE | Finding interesting correlations with conditional heavy hitters. | Katsiaryna Mirylenka, Themis Palpanas, Graham Cormode, Divesh Srivastava |
| 2012 | PAKDD | SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. | Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas |