Author

A. Kalyuzhnaya

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#artificial intelligence Preprint Oct 2026

Knowing When Not to Answer: Cross-Domain and Multi-Turn Generalization of Latent Underspecification Signals

Large language models routinely answer questions that cannot be answered from the information given, and in dialogue they answer before enough has been said. Unanswerability is linearly decodable from hidden states, but it is unclear which of its forms share a representation and whether the signal is useful in dialogue...

Jerzy Kamiński, Ilya Galyukshev, Artem Kuznetsov et al. · 0 citations

Preprint Jul 2026

DynamicMCPBench: A Trace-Grounded, Effect-Scored Benchmark for LLM Agents over Live MCP Servers

DynamicMCPBench is presented, a reusable framework rather than a fixed dataset that turns benchmark construction into something practitioners can rerun on their own servers and models, while exposing a consistent inability of current agents to handle long, multi-step agentic tasks.

Jerzy Kamiński, Ilya Galyukshev, Artem Kuznetsov et al. · 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