Daniil Merkulov — accepted AI-conference papers

2026

PERELMAN: Pipeline for scientific literature meta-analysis

Daniil Sherki, Daniil Merkulov, Aleksandra Savina, Dzhantemir Kikov, Dmitry Parpulov, Alexander Ivanov +2

IJCAI 2026

We present PERELMAN (PipEline foR sciEntific Literature Meta-ANalysis), an agentic framework designed to extract specific information from a large corpus of scientific articles to support large-scale literature reviews and meta-analyses. Our central goal is to reliably transform heterogeneous articl

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2024

Quantization of Large Language Models with an Overdetermined Basis

Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan Oseledets, Ekaterina Muravleva, Aleksandr Mikhalev +1

UAI 2024poster

In this paper, we introduce an algorithm for data quantization based on the principles of Kashin representation. This approach hinges on decomposing any given vector, matrix, or tensor into two factors. The first factor maintains a small infinity norm, while the second exhibits a similarly constrain…

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