activity
20222026
most citedAll You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Rotate the Loop: Blockwise Conformality for Looped Transformers

Alexey Zemtsov, Albina Klepach, Vadim Lomshakov +5

Looped transformers reuse one shared block across many recurrent steps, so depth becomes a quantity that can be spent at runtime rather than a stack of distinct layers. Those extra…

cs.AI2026

AgentLens: Production-Assessed Trajectory Reviews for Coding Agent Evaluation

Andrey Podivilov, Vadim Lomshakov, Sergey Savin +4

We present AgentLens, a production-assessed benchmark for interactive code agents. Most code-agent benchmarks reduce a run to a single bit -- did the task pass? -- but the people w…

cs.CL2025

YABLoCo: Yet Another Benchmark for Long Context Code Generation

Aidar Valeev, Roman Garaev, Vadim Lomshakov +3

Large Language Models demonstrate the ability to solve various programming tasks, including code generation. Typically, the performance of LLMs is measured on benchmarks with small…

cs.SE2025

LAMeD: LLM-generated Annotations for Memory Leak Detection

Ekaterina Shemetova, Ilya Shenbin, Ivan Smirnov +5

Static analysis tools are widely used to detect software bugs and vulnerabilities but often struggle with scalability and efficiency in complex codebases. Traditional approaches re…

cs.SE2022★ 1 cited

All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs

Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov +4

In this work, we propose an approach for collecting completion usage logs from the users in an IDE and using them to train a machine learning based model for ranking completion can…