3 papers
cs.LG2026
Don't Claim Benchmark-Oriented Optimization Improves General Coding Capability -- Diverse Evaluation Is Required
Egor Shibaev, Vera Kudrevskaia, Timur Galimzyanov +9
Post-training papers, model cards, and blog posts often treat scores on a small set of coding benchmarks (e.g., SWE-bench and LiveCodeBench) as evidence of broad coding capability,…
cs.LG2025
Guided Star-Shaped Masked Diffusion
Viacheslav Meshchaninov, Egor Shibaev, Artem Makoian +5
The performance of pre-trained masked diffusion models is often constrained by their sampling procedure, which makes decisions irreversible and struggles in low-step generation reg…
cs.SE2024
Stack Trace Deduplication: Faster, More Accurately, and in More Realistic Scenarios
Egor Shibaev, Denis Sushentsev, Yaroslav Golubev +1
In large-scale software systems, there are often no fully-fledged bug reports with human-written descriptions when an error occurs. In this case, developers rely on stack traces, i…