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Taras Shlyakhta

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#large language models Open access Sep 2026

GALATEA II: Benchmarking LLM Safety in Clinical Simulation Behavioural Safety and Ethical Robustness of Large Language Models in a Multi-Agent ICU Decision Support Architecture

Background. Large language models (LLMs) are increasingly proposed as clinical decision support tools in intensive care. Most existing evaluations focus on static recall of medical knowledge and do not capture how a model behaves in dynamic clinical dialogue, under social pressure, or in ethical conflict. The safety of...

Taras Shlyakhta · Zenodo (CERN European Organi... · 0 citations

#large language models Open access Sep 2026

The Galatea Phenomenon: Emergent Subjectivity, Cognitive Stability and Domain Bias in Large Language Models

Second edition, September 2026. This version corrects substantive errors in thefirst edition (17 January 2026) and deposits the surviving primary recordsalongside the manuscript. A list of changes appears in the "Note on thisedition" section of the paper. Background: The introduction of large language models (LLMs) int...

Taras Shlyakhta · Zenodo (CERN European Organi... · 0 citations

#large language models Open access Sep 2026

Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions

Background. Large language models (LLMs) are increasingly proposed as clinical assistants in critical care, yet their behaviour under prolonged clinical context, conflicting data and authoritative pressure remains insufficiently evaluated. This is particularly relevant for offline or resource-constrained environments,...

Taras Shlyakhta · Zenodo (CERN European Organi... · 0 citations