Copertina

Urban Safety Perception Through the Lens of Large Multimodal Models: A Persona-based Approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Beneduce, Ciro, Lepri, Bruno, Luca, Massimiliano
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computers and Society Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Models are Zero-Shot Next Location Predictors
di: Beneduce, Ciro, et al.
Pubblicazione: (2024)

AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario
di: Beneduce, Ciro, et al.
Pubblicazione: (2025)

The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data
di: Luca, Massimiliano, et al.
Pubblicazione: (2025)

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All?
di: Ziliotto, Filippo, et al.
Pubblicazione: (2026)

Time Series Foundation Models are Flow Predictors
di: Luca, Massimiliano, et al.
Pubblicazione: (2025)

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
di: Beneduce, Ciro, et al.
Pubblicazione: (2025)

A City-Scale Dataset of Traffic Flows, Travel Times, and Urban Context
di: Cappi, Riccardo, et al.
Pubblicazione: (2026)

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
di: Xu, Yue, et al.
Pubblicazione: (2025)

Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph
di: Bronzini, Marco, et al.
Pubblicazione: (2024)

Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
di: Borman, Harris, et al.
Pubblicazione: (2024)

The Urban Impact of AI: Modeling Feedback Loops in Next-Venue Recommendation
di: Mauro, Giovanni, et al.
Pubblicazione: (2025)

Exploring Societal Concerns and Perceptions of AI: A Thematic Analysis through the Lens of Problem-Seeking
di: Kayembe, Naomi Omeonga wa
Pubblicazione: (2025)

Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
di: Gurkan, Necdet, et al.
Pubblicazione: (2024)

Safety Cases: A Scalable Approach to Frontier AI Safety
di: Hilton, Benjamin, et al.
Pubblicazione: (2025)

Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
di: Costa, Davi Bastos, et al.
Pubblicazione: (2025)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
di: Kiet, Huynh Trung, et al.
Pubblicazione: (2026)

The Violation State: Safety State Persistence in a Multimodal Language Model Interface
di: DeVilling, Bentley
Pubblicazione: (2025)

SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces
di: Wang, Brian, et al.
Pubblicazione: (2025)

LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion
di: Zhou, Guanghao, et al.
Pubblicazione: (2026)

UrbanGPT: Spatio-Temporal Large Language Models
di: Li, Zhonghang, et al.
Pubblicazione: (2024)

The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
di: Zhou, Kaiwen, et al.
Pubblicazione: (2025)

Mitigating Gambling-Like Risk-Taking Behaviors in Large Language Models: A Behavioral Economics Approach to AI Safety
di: Du, Y.
Pubblicazione: (2025)

Evaluating Psychological Safety of Large Language Models
di: Li, Xingxuan, et al.
Pubblicazione: (2022)

Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios
di: Gan, Wenbin, et al.
Pubblicazione: (2025)

GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
di: Cobben, Pepijn, et al.
Pubblicazione: (2026)

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
di: Greco, Candida M., et al.
Pubblicazione: (2026)

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
di: Sehwag, Udari Madhushani, et al.
Pubblicazione: (2025)

Intelli-Planner: Towards Customized Urban Planning via Large Language Model Empowered Reinforcement Learning
di: Yong, Xixian, et al.
Pubblicazione: (2026)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams
di: Zhou, Pengfei, et al.
Pubblicazione: (2025)

A Multimodal Manufacturing Safety Chatbot: Knowledge Base Design, Benchmark Development, and Evaluation of Multiple RAG Approaches
di: Singh, Ryan, et al.
Pubblicazione: (2025)

Decoding Tourist Perception in Historic Urban Quarters with Multimodal Social Media Data: An AI-Based Framework and Evidence from Shanghai
di: Tan, Kaizhen, et al.
Pubblicazione: (2025)

German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies
di: Rupprecht, Jens, et al.
Pubblicazione: (2025)

Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India
di: Saxena, Ritwik Raj
Pubblicazione: (2024)

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
di: Yang, Yifan, et al.
Pubblicazione: (2024)

Benchmarking the Safety of Large Language Models for Robotic Health Attendant Control
di: Nakao, Mahiro, et al.
Pubblicazione: (2026)

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI
di: Deng, Wesley Hanwen, et al.
Pubblicazione: (2026)

Phare: A Safety Probe for Large Language Models
di: Jeune, Pierre Le, et al.
Pubblicazione: (2025)

Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility
di: Bontorin, Sebastiano, et al.
Pubblicazione: (2024)

Assessing the Reliability of Persona-Conditioned LLMs as Synthetic Survey Respondents
di: Morocho, Erika Elizabeth Taday, et al.
Pubblicazione: (2026)

Defining and Evaluating Physical Safety for Large Language Models
di: Tang, Yung-Chen, et al.
Pubblicazione: (2024)