Alicja Rączkowska — accepted AI-conference papers

2026

RetrySQL: Text-to-SQL Training with Retry Data for Self-Correcting Query Generation

Alicja Rączkowska, Riccardo Belluzzo, Piotr Zieliński, Joanna Baran, Paweł Olszewski

AAAI 2026technical

The text-to-SQL task is an active challenge in Natural Language Processing. Many existing solutions focus on using black-box language models extended with specialized components within customized end-to-end text-to-SQL pipelines. While these solutions use both closed-source proprietary language mode

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2025

AlleNoise - large-scale text classification benchmark dataset with real-world label noise

Alicja Rączkowska, Aleksandra Osowska-Kurczab, Jacek Szczerbiński, Kalina Jasinska-Kobus, Klaudia Nazarko

AISTATS 2025poster

Label noise remains a challenge for training robust classification models. Most methods for mitigating label noise have been benchmarked using primarily datasets with synthetic noise. While the need for datasets with realistic noise distribution has partially been addressed by web-scraped benchmarks…

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