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iMak AI Lab

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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

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

Benchmarking 2D Latent Degradation Spaces for Monitoring-Ready PdM

Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko

2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)•May 2026
predictive maintenanceRULRepresentation LearningBenchmarkSenSys
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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

Benchmarking IoT Time-Series Anomaly Detection with Event-Level Augmentations

Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko, Fedor Meshchaninov, Anton Kozhukhov, Vladislav Travnikov,

arXiv preprint arXiv:2602.15457•February 2026
Anomaly DetectionTime Series AnalysisIoTBenchmarkarXiv
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2025

Benchmarking machine learning models for predicting lithium ion migration

Artem Dembitskiy, Innokentiy Humonen, Roman Eremin, Dmitry Aksyonov, Stanislav Fedotov, Semen Budennyy

npj Computational Materials•May 2025
Materials ScienceChemistryAI for ScienceBenchmarknpj Computational Materials