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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

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

B3Emo: Quantifying Affect as a Double-Edged Sword in Strategic LLM Interactions

Aleksei Stepin, Mikhail Mozikov, Artyom Kabanov, Vladimir Kubasov, Rustam Akimov, Ivan Nasonov,

IEEE Access•March 2026
LLMAffective ComputingGame TheoryAlignmentIEEE Access
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2025

HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human-AI Strategic Decision-Making

Mikhail Mozikov, Daniil Orekhov, Ivan Nasonov, Konstantin Baltsat, Vladislav Pedashenko, Dmitrii Abramov,

Proceedings of the 33rd ACM International Conference on Multimedia•October 2025
DOI: https://doi.org/10.1145/3746027.3754468
LLMNLPAffective ComputingGame TheoryHCIACM MM
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Related project: Emotions for Human-Computer Interaction (HCI): recognizing, generating, interacting