Yaroslav Zharov

According to our database, Yaroslav Zharov authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

On Problems of Implicit Context Compression for Software Engineering Agents.

Kirill Gelvan, Igor Slinko, Felix Steinbauer, Egor Bogomolov, Florian Kofler, Yaroslav Zharov

CoRR, May, 2026

Step Rejection Fine-Tuning: A Practical Distillation Recipe.

Igor Slinko, Ilia Zavidnyi, Egor Bogomolov, Yaroslav Zharov

CoRR, May, 2026

Multi-Agent Coordinated Rename Refactoring.

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

CoRR, January, 2026

2025

PIPer: On-Device Environment Setup via Online Reinforcement Learning.

Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov

CoRR, September, 2025

The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management.

Tobias Lindenbauer, Igor Slinko, Ludwig Felder, Egor Bogomolov, Yaroslav Zharov

CoRR, August, 2025

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git.

Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov

CoRR, May, 2025

Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring.

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

CoRR, March, 2025

EnvBench: A Benchmark for Automated Environment Setup.

Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov

CoRR, March, 2025

Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring.

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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2025

Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings.

Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

2024

On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing.

Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, Timofey Bryksin

CoRR, 2024

Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks.

Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin

CoRR, 2024

Tool-augmented LLMs as a Universal Interface for IDEs.

Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov

Proceedings of the 1st ACM/IEEE Workshop on Integrated Development Environments, 2024

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks.

Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning.

Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline

CoRR, 2023

Optimizing the Procedure of CT Segmentation Labeling.

Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline

CoRR, 2023

A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image.

Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training.

Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline

CoRR, 2022

2020

Self Supervised Learning for Object Localisation in 3D Tomographic Images.

Yaroslav Zharov, Alexey Ershov, Tilo Baumbach

CoRR, 2020

2018

YASENN: Explaining Neural Networks via Partitioning Activation Sequences.

Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin

CoRR, 2018