Yaroslav Zharov

22 papers A 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Agent Coordinated Rename Refactoring.
CoRR
Abhiram Bellur, Mohammed Raihan Ullah, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Danny Dig
2025 J jnl
EnvBench: A Benchmark for Automated Environment Setup.
CoRR
Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov
2025 J jnl
GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git.
CoRR
Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov
2025 J jnl
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring.
CoRR
Fraol Batole, Abhiram Bellur, Malinda Dilhara, Mohammed Raihan Ullah, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Shota Motoura, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, Danny Dig
2025 J jnl
PIPer: On-Device Environment Setup via Online Reinforcement Learning.
CoRR
Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov
2025 J jnl
The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management.
CoRR
Tobias Lindenbauer, Igor Slinko, Ludwig Felder, Egor Bogomolov, Yaroslav Zharov
2025 A conf
Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring.
ICSME
Abhiram Bellur, Fraol Batole, Mohammed Raihan Ullah, Malinda Dilhara, Yaroslav Zharov, Timofey Bryksin, Kai Ishikawa, Haifeng Chen, Masaharu Morimoto, Takeo Hosomi, Tien N. Nguyen, Hridesh Rajan, Nikolaos Tsantalis, Danny Dig
2025 — conf
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings.
SEIP@ICSE
Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov
2024 — conf
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks.
EMNLP (System Demonstrations)
Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov
2024 J jnl
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks.
CoRR
Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov
2024 J jnl
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing.
CoRR
Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, Timofey Bryksin
2024 J jnl
Tool-Augmented LLMs as a Universal Interface for IDEs.
CoRR
Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov
2024 — conf
Tool-augmented LLMs as a Universal Interface for IDEs.
IDE@ICSE
Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov
2024 J jnl
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings.
CoRR
Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov
2024 J jnl
Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks.
CoRR
Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin
2023 — conf
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image.
ISBI
Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz
2023 J jnl
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image.
CoRR
Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz
2023 J jnl
Optimizing the Procedure of CT Segmentation Labeling.
CoRR
Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline
2023 J jnl
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning.
CoRR
Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline
2022 J jnl
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training.
CoRR
Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline
2020 J jnl
Self Supervised Learning for Object Localisation in 3D Tomographic Images.
CoRR
Yaroslav Zharov, Alexey Ershov, Tilo Baumbach
2018 J jnl
YASENN: Explaining Neural Networks via Partitioning Activation Sequences.
CoRR
Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin