activity
20092026
most citedShifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

7 citations · 8 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards

Kirill Pavlenko, Alexander Golubev, Simon Karasik +1

Group Relative Policy Optimization (GRPO) assigns a single scalar advantage to all tokens in a completion. For structured generations with explicit segments and objectives, this co…

cs.LG2025★ 1 cited

Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning

Alexander Golubev, Maria Trofimova, Sergei Polezhaev +9

Research on applications of reinforcement learning (RL) to large language models has mostly been focused on single-turn problems, such as mathematical reasoning or single-shot code…

cs.SE2025

Guided Search Strategies in Non-Serializable Environments with Applications to Software Engineering Agents

Karina Zainullina, Alexander Golubev, Maria Trofimova +9

Large language models (LLMs) have recently achieved remarkable results in complex multi-step tasks, such as mathematical reasoning and agentic software engineering. However, they o…

cs.SE2025

SWE-rebench: An Automated Pipeline for Task Collection and Decontaminated Evaluation of Software Engineering Agents

Ibragim Badertdinov, Alexander Golubev, Maksim Nekrashevich +6

LLM-based agents have shown promising capabilities in a growing range of software engineering (SWE) tasks. However, advancing this field faces two critical challenges. First, high-…

cs.RO2023

Kraken: enabling joint trajectory prediction by utilizing Mode Transformer and Greedy Mode Processing

Daniil S. Antonenko, Stepan Konev, Yuriy Biktairov +1

Accurate and reliable motion prediction is essential for safe urban autonomy. The most prominent motion prediction approaches are based on modeling the distribution of possible fut…

cs.LG2021★ 7 cited

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Andrey Malinin, Neil Band, Ganshin +15

There has been significant research done on developing methods for improving robustness to distributional shift and uncertainty estimation. In contrast, only limited work has exami…