Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment
cs.LG, cs.CY
Submitted: 2026-08-31
Updated: 2026-08-31
Terminology
Sources
- MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
- SoK: Memorization in General-Purpose Large Language Models
- Geo-Llama: Leveraging LLMs for Human Mobility Trajectory Generation with Spatiotemporal Constraints
- Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles
- Aligning LLM with human travel choices: a persona-based embedding learning approach
- Large Language Models are Geographically Biased
- GeoLLM: Extracting Geospatial Knowledge from Large Language Models
- Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs
- Where Would I Go Next? Large Language Models as Human Mobility Predictors
- Popular LLMs Amplify Race and Gender Disparities in Human Mobility
- GenAI Models Capture Urban Science but Oversimplify Complexity
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