activity
20202026
most citedOut of the BLEU: how should we assess quality of the Code Generation models?

115 citations · 195 across the 32 of their papers we have counts for

collaborators
Showing 2025 · cs.SEShow all

5 papers · 2 filters

cs.SE2025

Diff-XYZ: A Benchmark for Evaluating Diff Understanding

Evgeniy Glukhov, Michele Conti, Egor Bogomolov +2

Reliable handling of code diffs is central to agents that edit and refactor repositories at scale. We introduce Diff-XYZ, a compact benchmark for code-diff understanding with three…

cs.SE2025

Challenge on Optimization of Context Collection for Code Completion

Dmitry Ustalov, Egor Bogomolov, Alexander Bezzubov +4

The rapid advancement of workflows and methods for software engineering using AI emphasizes the need for a systematic evaluation and analysis of their ability to leverage informati…

cs.SE2025★ 1 cited

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs

Daniele Cipollone, Egor Bogomolov, Arie van Deursen +1

Token-level code completion is one of the most critical features in modern Integrated Development Environments (IDEs). It assists developers by suggesting relevant identifiers and…

cs.SE2025

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

Tobias Lindenbauer, Igor Slinko, Ludwig Felder +2

Large Language Model (LLM)-based agents solve complex tasks through iterative reasoning, exploration, and tool-use, a process that can result in long, expensive context histories.…

cs.SE2025

GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git

Tobias Lindenbauer, Egor Bogomolov, Yaroslav Zharov

Benchmarks for Software Engineering (SE) AI agents, most notably SWE-bench, have catalyzed progress in programming capabilities of AI agents. However, they overlook critical develo…