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ORCIDYaroslav Zharov
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2020 – today
- 2026
[i20]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:
Multi-Agent Coordinated Rename Refactoring. CoRR abs/2601.00482 (2026)- [i19]Igor Slinko, Ilia Zavidnyi, Egor Bogomolov, Yaroslav Zharov:
Step Rejection Fine-Tuning: A Practical Distillation Recipe. CoRR abs/2605.10674 (2026) - [i18]Kirill Gelvan, Igor Slinko, Felix Steinbauer, Egor Bogomolov, Florian Kofler, Yaroslav Zharov:
On Problems of Implicit Context Compression for Software Engineering Agents. CoRR abs/2605.11051 (2026) - [i17]Egor Bogomolov, Yaroslav Zharov:
Towards Evaluation of Implicit Software World Models in Coding LLMs. CoRR abs/2606.27406 (2026) - 2025
- [c5]Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov:
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings. SEIP@ICSE 2025: 597-606 - [c4]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:
Together We are Better: LLM, IDE and Semantic Embedding to Assist Move Method Refactoring. ICSME 2025: 1-13 - [i16]Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin, Egor Bogomolov, Yaroslav Zharov:
EnvBench: A Benchmark for Automated Environment Setup. CoRR abs/2503.14443 (2025) - [i15]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:
Leveraging LLMs, IDEs, and Semantic Embeddings for Automated Move Method Refactoring. CoRR abs/2503.20934 (2025) - [i14]Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov:
GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git. CoRR abs/2505.22583 (2025) - [i13]Tobias Lindenbauer, Igor Slinko, Ludwig Felder, Egor Bogomolov, Yaroslav Zharov:
The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management. CoRR abs/2508.21433 (2025) - [i12]Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov, Egor Bogomolov, Yaroslav Zharov:
PIPer: On-Device Environment Setup via Online Reinforcement Learning. CoRR abs/2509.25455 (2025) - 2024
- [c3]Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov:
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks. EMNLP (System Demonstrations) 2024: 363-371 - [c2]Yaroslav Zharov
, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov:
Tool-augmented LLMs as a Universal Interface for IDEs. IDE@ICSE 2024: 40-42 - [i11]Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov:
Tool-Augmented LLMs as a Universal Interface for IDEs. CoRR abs/2402.11635 (2024) - [i10]Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin:
Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks. CoRR abs/2405.01559 (2024) - [i9]Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, Timofey Bryksin:
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing. CoRR abs/2406.04464 (2024) - [i8]Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig, Alexander Bezzubov, Yaroslav Golubev, Timofey Bryksin, Yaroslav Zharov:
Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings. CoRR abs/2410.12046 (2024) - [i7]Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin, Yaroslav Zharov:
Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks. CoRR abs/2410.14393 (2024) - 2023
- [c1]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. ISBI 2023: 1-5 - [i6]Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz:
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. CoRR abs/2302.12562 (2023) - [i5]Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline:
Optimizing the Procedure of CT Segmentation Labeling. CoRR abs/2303.14089 (2023) - [i4]Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline:
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning. CoRR abs/2303.14429 (2023) - 2022
- [i3]Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline:
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training. CoRR abs/2203.09372 (2022) - 2020
- [i2]Yaroslav Zharov, Alexey Ershov, Tilo Baumbach:
Self Supervised Learning for Object Localisation in 3D Tomographic Images. CoRR abs/2011.03353 (2020)
2010 – 2019
- 2018
- [i1]Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin:
YASENN: Explaining Neural Networks via Partitioning Activation Sequences. CoRR abs/1811.02783 (2018)
Coauthor Index
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