Dmitrii Babaev

11 papers A* 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
MERA Code: A Unified Framework for Evaluating Code Generation Across Tasks.
CoRR
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
2025 A* conf
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences.
IJCAI
Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey V. Savchenko
2025 — conf
SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks.
EMNLP (System Demonstrations)
Pavel Adamenko, Mikhail Ivanov, Aidar Valeev, Rodion Levichev, Pavel Zadorozhny, Ivan Lopatin, Dmitrii Babaev, Alena Fenogenova, Valentin Malykh
2022 — conf
CoLES: Contrastive Learning for Event Sequences with Self-Supervision.
SIGMOD Conference
Dmitrii Babaev, Nikita Ovsov, Ivan Kireev, Mariya Ivanova, Gleb Gusev, Ivan Nazarov, Alexander Tuzhilin
2022 J jnl
Insights From the NeurIPS 2021 NetHack Challenge.
CoRR
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
2022 J jnl
Temporal network embedding framework with causal anonymous walks representations.
PeerJ Comput. Sci.
Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Dmitrii Kiselev, Aleksandr Mikheev, Dmitrii Babaev
2021 — conf
Insights From the NeurIPS 2021 NetHack Challenge.
NeurIPS (Competition and Demos)
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
2021 J jnl
Temporal Graph Network Embedding with Causal Anonymous Walks Representations.
CoRR
Ilya Makarov, Andrey V. Savchenko, Arseny Korovko, Leonid Sherstyuk, Nikita Severin, Aleksandr Mikheev, Dmitrii Babaev
2020 J jnl
Event sequence metric learning.
CoRR
Dmitrii Babaev, Ivan Kireev, Nikita Ovsov, Mariya Ivanova, Gleb Gusev, Alexander Tuzhilin
2019 A* conf
E.T.-RNN: Applying Deep Learning to Credit Loan Applications.
KDD
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov
2019 J jnl
E.T.-RNN: Applying Deep Learning to Credit Loan Applications.
CoRR
Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov