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cs.LG2026
LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots
Daria Grushina, Kseniia Kuvshinova, Alina Kostromina +3
Supervised classification on tabular data remains a central machine learning task, but its dependence on large labeled datasets limits its applicability in data-scarce settings. Fe…
cs.LG2025
Tsururu: A Python-based Time Series Forecasting Strategies Library
Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay +2
While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Pytho…
cs.LG2025
LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data
Aleksey Lapin, Igor Hromov, Stanislav Chumakov +4
AutoML has advanced in handling complex tasks using the integration of LLMs, yet its efficiency remains limited by dependence on specific underlying tools. In this paper, we introd…