collaborators

5 papers

cs.LG2025

PIPer: On-Device Environment Setup via Online Reinforcement Learning

Alexander Kovrigin, Aleksandra Eliseeva, Konstantin Grotov +2

Environment setup-the process of configuring the system to work with a specific software project-represents a persistent challenge in Software Engineering (SE). Automated environme…

cs.LG2025

EnvBench: A Benchmark for Automated Environment Setup

Aleksandra Eliseeva, Alexander Kovrigin, Ilia Kholkin +2

Recent advances in Large Language Models (LLMs) have enabled researchers to focus on practical repository-level tasks in software engineering domain. In this work, we consider a co…

cs.SE2025

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

Petr Tsvetkov, Aleksandra Eliseeva, Danny Dig +4

When a Commit Message Generation (CMG) system is integrated into the IDEs and other products at JetBrains, we perform online evaluation based on user acceptance of the generated me…

cs.LG2024

Long Code Arena: a Set of Benchmarks for Long-Context Code Models

Egor Bogomolov, Aleksandra Eliseeva, Timur Galimzyanov +8

Nowadays, the fields of code and natural language processing are evolving rapidly. In particular, models become better at processing long context windows - supported context sizes…

cs.SE2024

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

Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov +1

Recent advancements in code-fluent Large Language Models (LLMs) enabled the research on repository-level code editing. In such tasks, the model navigates and modifies the entire co…