2 papers
cs.CL2026
BEAR-Bench: A Bilingual Enterprise and Academic Reasoning Benchmark for Multimodal Models
Liubov Chubarova, Alexandra Kuleshova, Daniil Volkov +2
While Multimodal Large Language Models (MLLMs) have made significant strides in visual comprehension, their ability to reason about text-dense, professional documents remains incom…
cs.LG2026
Batch Size or Negatives? A Selection Rule for Memory-Constrained Recommender Training
Artyom Sabitov, Daniil Volkov, Alexey Zaytsev
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 ,…