Dmitry Simakov

According to our database, Dmitry Simakov authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots.

Daria Grushina, Kseniia Kuvshinova, Alina Kostromina, Aziz Temirkhanov, Mile Mitrovic, Dmitry Simakov

CoRR, May, 2026

Hallucination Detection in LLMs with Topological Divergence on Attention Graphs.

Alexandra Bazarova, Andrei Volodichev, Aleksandr Yugay, Andrey Shulga, Alina Ermilova, Konstantin Polev, Julia Belikova, Rauf Parchiev, Dmitry Simakov, Maxim Savchenko, Andrey V. Savchenko, Serguei Barannikov, Alexey Zaytsev

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data.

Aleksey Lapin, Igor Hromov, Stanislav Chumakov, Mile Mitrovic, Dmitry Simakov, Nikolay O. Nikitin, Andrey V. Savchenko

CoRR, July, 2025

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control.

Anton Klenitskiy, Konstantin Polev, Daria Denisova, Alexey Vasilev, Dmitry Simakov, Gleb Gusev

CoRR, July, 2025

Hallucination Detection in LLMs via Topological Divergence on Attention Graphs.

Alexandra Bazarova, Aleksandr Yugay, Andrey Shulga, Alina Ermilova, Andrei V. Sokolov, Konstantin Polev, Julia Belikova, Rauf Parchiev, Dmitry Simakov, Maxim Savchenko, Andrey V. Savchenko, Serguei Barannikov, Alexey Zaytsev

CoRR, April, 2025

Data-efficient Meta-models for Evaluation of Context-based Questions and Answers in LLMs.

Julia Belikova, Konstantin Polev, Rauf Parchiev, Dmitry Simakov

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Tsururu: A Python-based Time Series Forecasting Strategies Library.

Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize?

Kseniia Kuvshinova, Olga Tsymboi, Alina Kostromina, Dmitry Simakov, Elizaveta Kovtun

CoRR, 2024

A Large-Scale Empirical Study of Aligned Time Series Forecasting.

Polina Pilyugina, Svetlana Medvedeva, Kirill Mosievich, Ilya Trofimov, Alina Kostromina, Dmitry Simakov, Evgeny Burnaev

IEEE Access, 2024

2021

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem.

Anton Vakhrushev, Alexander Ryzhkov, Maxim Savchenko, Dmitry Simakov, Rinchin Damdinov, Alexander Tuzhilin

CoRR, 2021