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Andrei Osiptsov

2 accepted papers

2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents

AAAI 2026technical

Climate change is driving more frequent and severe disasters, putting people and infrastructure at risk. Protecting communities requires models that capture both natural disasters dynamics and how people behave under extreme conditions. This demo presents RESPOND, a multi-agent LLM-enhanced platform

Cited by 0SourcePDFScholar
2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract)

AAAI 2026technical

Climate change is driving more frequent and severe disasters, putting people and infrastructure at risk. Protecting communities requires models that capture both natural disasters dynamics and how people behave under extreme conditions. This demo presents RESPOND, a multi-agent LLM-enhanced platform

Cited by 0SourcePDFScholar