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© 2026 iMak AI Lab

Publications

A collection of key scientific and applied works of the laboratory. In the future, the list can be linked to an external database or Google Scholar.

2026

ScholForge: A Multi-Agent LLM System for Autonomous Software Engineering Research

Aleksei Stepin, Boris Tolstokulakov, Vladislav Kulikov, Artyom Kabanov, Vladimir Kubasov, Mikhail Mozikov,

Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion)•July 2026
DOI: https://doi.org/10.1145/3803437.3807394
LLM AgentsMulti-Agent SystemsSoftware EngineeringResearch AutomationFSE
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2026

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs

Kevin Wang, Anna Thoni, Benjamin Kempinski, Bobby Cheng, Jianzhu Yao, Benjamin Finch,

arXiv preprint arXiv:2605.29512•May 2026
LLM AgentsMulti-Agent SystemsBenchmarkGame TheoryarXiv
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2026

Prompt2Edge: Autonomous Machine Learning System for Edge Devices

Aleksei Stepin, Vladislav Kulikov, Boris Tolstokulakov, Mikhail Mozikov, Ilya Makarov

2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)•May 2026
AutoMLEdge AILLM AgentsSenSys
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2026

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets,

Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track•April 2026
LLM AgentsMulti-Agent SystemsGame TheoryBenchmarkNeurIPS
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2026

MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution

Aliaksei Korshuk, Alexander Buyantuev, Ilya Makarov

arXiv preprint arXiv:2606.00017•April 2026
LLM AgentsRLMulti-Agent SystemsGame TheoryarXiv
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2026

ReDAct: Uncertainty-Aware Deferral for LLM Agents

Dzianis Piatrashyn, Nikita Kotelevskii, Kirill Grishchenkov, Nikita Glazkov, Ivan Nasonov, Ilya Makarov,

arXiv preprint arXiv:2604.07036•April 2026
LLM AgentsUncertainty EstimationTrustworthy AIarXiv
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2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents

Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov,

Proceedings of the AAAI Conference on Artificial Intelligence•March 2026
LLM AgentsNatural DisastersclimateMulti-Agent SystemsAAAI
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2026

Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting

Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky,

arXiv preprint arXiv:2511.23387•November 2025
LLM AgentsweatherExplainable AIMulti-Agent SystemsarXiv
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Related project: Foundation models for Satellite Imaging and Climate
2025

A Modular LLM-Agent System for Transparent Multi-Parameter Weather Interpretation

Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky,

arXiv preprint arXiv:2512.11819•November 2025
LLM AgentsweatherExplainable AIMulti-Agent SystemsarXiv
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