3 papers
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.LG2026
Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
Shirin Alanova, Kristina Kazistova, Ekaterina Galaeva +7
The demand for efficient large language model (LLM) inference has intensified the focus on sparsification techniques. While semi-structured (N:M) pruning is well-established for we…
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…