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20222026
most citedOut of the BLEU: how should we assess quality of the Code Generation models?

115 citations · 119 across the 6 of their papers we have counts for

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Showing cs.SEShow all

5 papers · 1 filter

cs.SE2026

In-IDE Toolkit for Developers of AI-Based Features

Yaroslav Sokolov, Yury Khudyakov, Lenar Sharipov +3

AI-enabled features built on LLMs and agentic workflows are difficult to test, debug, and reproduce, especially for product-focused software engineers without a machine learning ba…

cs.SE2024★ 2 cited

Full Line Code Completion: Bringing AI to Desktop

Anton Semenkin, Vitaliy Bibaev, Yaroslav Sokolov +14

In recent years, several industrial solutions for the problem of multi-token code completion appeared, each making a great advance in the area but mostly focusing on cloud-based ru…

cs.SE2024★ 1 cited

Context Composing for Full Line Code Completion

Anton Semenkin, Yaroslav Sokolov, Evgeniia Vu

Code Completion is one of the most used Integrated Development Environment (IDE) features, which affects the everyday life of a software developer. Modern code completion approache…

cs.SE2023★ 1 cited

From Commit Message Generation to History-Aware Commit Message Completion

Aleksandra Eliseeva, Yaroslav Sokolov, Egor Bogomolov +3

Commit messages are crucial to software development, allowing developers to track changes and collaborate effectively. Despite their utility, most commit messages lack important in…

cs.SE2022★ 115 cited

Out of the BLEU: how should we assess quality of the Code Generation models?

Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov +1

In recent years, researchers have created and introduced a significant number of various code generation models. As human evaluation of every new model version is unfeasible, the c…