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V. Lytvyn

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Open access Oct 2026

Context Selection as a Partial Order: A Blackwell Framework and Verified LLM Evidence

Context selection for large language models (LLMs) requires distinguishing source informativeness from the performance a fixed model can realize. We develop a framework separating the Blackwell order under optimal decision rules from a model-specific performance order, with finite-sample certificates for source compari...

Andriy Bilous, V. Lytvyn, P. Pukach et al. · 0 citations
Open access Jul 2026

GENERALIZING TINYBERT WITH CROSS-ATTENTION, LORA AND BI-GRU FOR DEEP LEARNING OVER NON-NUMERIC DATA: BEYOND FAKE NEWS DETECTION

A universal hybrid architecture integrating the compact TinyBERT transformer, a cross-attention mechanism, low-rank adaptation (LoRA), and a bidirectional gated recurrent unit (Bi-GRU) is proposed, capable of delivering high accuracy, interpretability, and computational efficiency for heterogeneous textual data in mult...

O. Khobor, V. Lytvyn · 0 citations

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