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researcher

Evgeny Burnaev

Applied AI Institute

26 papers hereh-index 386.4k citations203 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author11
  • last author6

Across the 17 of 26 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.CL3
  • cs.CV2
  • cs.AI1
  • cs.CG1
  • cs.SD1
affiliations
  • Applied AI Institute
HomepageORCID 0000-0001-8424-0690

identity via Semantic Scholar / OpenAlex

works on
deep learning 1flood monitoring 1multimodal data 1remote sensing 1satellite imagery 1

From the 1 of 26 linked papers with an AI index.

activity
20242026
most citedLoss Barcode: A Topological Measure of Escapability in Loss Landscapes

3 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Kristian Kuznetsov, Laida Kushnareva, Polina Druzhinina +5

Artificial Text Detection (ATD) is becoming increasingly important with the rise of advanced Large Language Models (LLMs). Despite numerous efforts, no single algorithm performs co…

cs.CL2025

Quantifying Logical Consistency in Transformers via Query-Key Alignment

Eduard Tulchinskii, Anastasia Voznyuk, Laida Kushnareva +4

Large language models (LLMs) have demonstrated impressive performance in various natural language processing tasks, yet their ability to perform multi-step logical reasoning remain…

cs.CL2024

Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA

Eduard Tulchinskii, Laida Kushnareva, Kristian Kuznetsov +5

A standard way to evaluate the abilities of LLM involves presenting a multiple-choice question and selecting the option with the highest logit as the model's predicted answer. Howe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.