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.CL2025
Probabilistic distances-based hallucination detection in LLMs with RAG
Rodion Oblovatny, Alexandra Kuleshova, Konstantin Polev +1
Detecting hallucinations in large language models (LLMs) is critical for their safety in many applications. Without proper detection, these systems often provide harmful, unreliabl…