Author

D. P. Volkov

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Preprint Aug 2026

Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training

Large-scale neural recommender systems are typically trained with a softmax cross-entropy objective over the full item vocabulary. For a typical large number of possible items $K$, the final classification layer dominates memory, requiring $O(nK)$ logits and gradients to materialize for a batch of $n$ examples. Sampled...

A. Sabitov, D. P. Volkov, A. Zaytsev · 0 citations

Preprint Aug 2026

BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal Models

BEAR-Bench (Bilingual Enterprise and Academic Reasoning), a self-contained, complex English-and-Russian benchmark comprising 1000 human-annotated questions based on text-rich business and scientific documents, is introduced, and existing hallucination detection methods are compared.

L. Chubarova, A. Kuleshova, D. P. Volkov et al. · 0 citations