Dmitrii Babaev

According to our database, Dmitrii Babaev authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks.

Artem Chervyakov, Alexander Kharitonov, Pavel Zadorozhny, Pavel Adamenko, Rodion Levichev, Dmitrii Vorobev, Dmitrii Salikhov, Aidar Valeev, Alena Pestova, Maria Dziuba, Ilseyar Alimova, Artem Zavgorodnev, Aleksandr Medvedev, Stanislav Moiseev, Elena Bruches, Daniil Grebenkin, Roman Derunets, Vikulov Vladimir, Anton A. Emelyanov, Dmitrii Babaev, Vladimir Ivanov, Valentin Malykh, Alena Fenogenova

CoRR, July, 2025

PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences.

Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey V. Savchenko

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

SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks.

Pavel Adamenko, Mikhail Ivanov, Aidar Valeev, Rodion Levichev, Pavel Zadorozhny, Ivan Lopatin, Dmitrii Babaev, Alena Fenogenova, Valentin Malykh

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2022

Temporal network embedding framework with causal anonymous walks representations.

Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev

PeerJ Comput. Sci., 2022

CoLES: Contrastive Learning for Event Sequences with Self-Supervision.

Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Temporal Graph Network Embedding with Causal Anonymous Walks Representations.

Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev

CoRR, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Event sequence metric learning.

Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin

CoRR, 2020

2019

E.T.-RNN: Applying Deep Learning to Credit Loan Applications.

Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019