Author

Andrey V. Savchenko

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Review Open access Sep 2026

Hybrid Graph Retrieval-Augmented Language Agents for Collaborative Recommendation

Recent advances in large language model (LLM) agents have shown promise for autonomous decision-making in recommender systems. However, existing approaches suffer from two fundamental limitations: flat agent memories that conflate different information modalities and prohibitive computational costs that prevent scaling...

Ivan Bulychev, Andrey V. Savchenko · Applied Informatics · 0 citations

Open access 2026

MM-PSYCHE: Multimodal Multitask Psychological Characteristic Estimation Through Cross-Domain Semi-Supervised Learning

MM-PSYCHE is introduced, a framework that unifies heterogeneous single-task corpora through cross-domain semi-supervised learning (SSL) with GradNorm-based adaptive task weighting and demonstrates that cross-domain SSL is useful for fragmented multimodal corpora with heterogeneous psychological annotations.

E. Ryumina, A. Axyonov, D. Koryakovskaya et al. · IEEE Access · 0 citations

Book Open access Jul 2026

Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights

We investigate the use of large language models (LLMs) as evolutionary operators for optimizing the architecture of multi-agent systems (MAS) - a representative instance of LLM-driven optimization over attributed-graph artifacts that arise in generative design. Given a task description, an initial MAS configuration is...

V. Akhmerov, Dmitry Gilemkhanov, Jerzy Kamiński et al. · GECCO Companion · 0 citations