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cs.LG2026
Do You Even Need More Data? Rethinking LLM Deployment for Label-Scarce Tabular Classification with TabLens
Daria Grushina, Kseniia Kuvshinova, Alina Kostromina +3
Every tabular classification task requires sufficient labeled data. When labels are scarce, practitioners can collect more examples, encode domain expertise into features, or accep…
cs.LG2023★ 7 cited
Performance Modeling of Data Storage Systems using Generative Models
Abdalaziz Rashid Al-Maeeni, Aziz Temirkhanov, Artem Ryzhikov +1
High-precision modeling of systems is one of the main areas of industrial data analysis. Models of systems, their digital twins, are used to predict their behavior under various co…