GenWorld supplies a data-grounded synthetic urban environment, structured agent interface, and offline LLM policy compilation to enable scalable city-scale LLM-agent simulations, shown via three cases in Higashihiroshima with census and mobile-data checks.
A large lan- guage model for feasible and diverse popula- tion synthesis.arXiv preprint arXiv:2505.04196, 2025
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Context-conditioned normalizing flows refine subnational survey distributions under severe data scarcity when conditioning covariates capture local heterogeneity.
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GenWorld: Empirically Grounded Urban Simulation Infrastructure for Scalable LLM-Agent Studies
GenWorld supplies a data-grounded synthetic urban environment, structured agent interface, and offline LLM policy compilation to enable scalable city-scale LLM-agent simulations, shown via three cases in Higashihiroshima with census and mobile-data checks.
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Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
Context-conditioned normalizing flows refine subnational survey distributions under severe data scarcity when conditioning covariates capture local heterogeneity.