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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.CL2026

CityBehavEx: A Scalable and Empirically Validated LLM-Assisted Urban Simulation Platform

Gustavo H. Santos, Aline Viana, Thiago H Silva

CityBehavEx is an interactive platform that uses large language models together with traditional mobility models to simulate city‑scale populations, allowing users to inspect, debu…

cs.CL2026

When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban Simulation

Gustavo H. Santos, Aline Carneiro Viana, Thiago H. Silva

LLM-based generative agents are increasingly used in urban simulators, yet it remains unclear whether they reproduce empirically realistic human mobility patterns or merely generat…

cs.CL2026

Persona Prompting in Multimodal Urban Perception: Descriptive Convergence and Interpretive Variation

Neemias da Silva, Matt Ratto, Myriam Delgado +3

This study examines how persona prompting shapes language generated by two multimodal large language models in urban perception, a setting for examining subjective interpretations…

cs.CL2026

Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

Neemias B da Silva, Rodrigo Minetto, Daniel Silver +1

Large Language Models (LLMs) are increasingly used as proxies for human perception in urban analysis, yet it remains unclear whether persona prompting produces meaningful and repro…

cs.SI2025

A Relational Model of Neighborhood Mobility: The Role of Amenities and Cultural Alignment

Thiago H Silva, Daniel Silver, Gustavo Santos +1

Why are some neighborhoods strongly connected while others remain isolated? Although standard explanations focus on demographics, economics, and geography, movement across the city…

cs.IR2025

CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods

Gustavo H Santos, Myriam Delgado, Thiago H Silva

We present CityHood, an interactive and explainable recommendation system that suggests cities and neighborhoods based on users' areas of interest. The system models user interests…