{"total":65,"rows":[{"id":"2406.14703","title":"Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics","created":"2024-06-20","cited_by_count":59,"area":null},{"id":"2406.15658","title":"TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning","created":"2024-06-21","cited_by_count":31,"area":null},{"id":"2409.03219","title":"Content Moderation by LLM: From Accuracy to Legitimacy","created":"2024-09-05","cited_by_count":30,"area":null},{"id":"2404.17874","title":"From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets","created":"2024-04-27","cited_by_count":25,"area":null},{"id":"2402.12025","title":"Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?","created":"2024-02-19","cited_by_count":23,"area":null},{"id":"2408.12116","title":"Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning","created":"2024-08-22","cited_by_count":15,"area":null},{"id":"2503.16683","title":"GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations","created":"2025-03-20","cited_by_count":10,"area":null},{"id":"2411.07320","title":"Richer Output for Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations","created":"2024-11-11","cited_by_count":9,"area":null},{"id":"2412.20760","title":"Attributing Culture-Conditioned Generations to Pretraining Corpora","created":"2024-12-30","cited_by_count":8,"area":null},{"id":"2506.03984","title":"Around the World in 24 Hours: Probing LLM Knowledge of Time and Place","created":"2025-06-04","cited_by_count":7,"area":null},{"id":"2408.17258","title":"Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach","created":"2024-08-30","cited_by_count":6,"area":null},{"id":"2505.18545","title":"B-score: Detecting biases in large language models using response history","created":"2025-05-24","cited_by_count":6,"area":null},{"id":"2508.05432","title":"Whose Truth? Pluralistic Geo-Alignment for (Agentic) AI","created":"2025-08-07","cited_by_count":6,"area":null},{"id":"2407.06798","title":"It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human","created":"2024-07-09","cited_by_count":5,"area":null},{"id":"2410.14879","title":"Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM","created":"2024-10-18","cited_by_count":5,"area":null},{"id":"2508.05525","title":"The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities","created":"2025-08-07","cited_by_count":5,"area":null},{"id":"2405.20868","title":"Responsible AI for Earth Observation","created":"2024-05-31","cited_by_count":4,"area":null},{"id":"2406.04952","title":"Quantifying Geospatial in the Common Crawl Corpus","created":"2024-06-07","cited_by_count":4,"area":null},{"id":"2603.18300","title":"Auditing Preferences for Brands and Cultures in LLMs","created":"2026-03-18","cited_by_count":4,"area":null},{"id":"2408.00884","title":"Hybrid Querying Over Relational Databases and Large Language Models","created":"2024-08-01","cited_by_count":3,"area":null},{"id":"2505.11239","title":"Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks","created":"2025-05-16","cited_by_count":3,"area":null},{"id":"2506.11812","title":"On the Performance of LLMs for Real Estate Appraisal","created":"2025-06-13","cited_by_count":3,"area":null},{"id":"2507.16557","title":"Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language","created":"2025-07-22","cited_by_count":3,"area":null},{"id":"2507.19586","title":"Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning","created":"2025-07-25","cited_by_count":3,"area":null},{"id":"2509.23482","title":"GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models","created":"2025-09-27","cited_by_count":3,"area":null},{"id":"2510.16555","title":"Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence","created":"2025-10-18","cited_by_count":3,"area":null},{"id":"2510.21011","title":"Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2511.06700","title":"Place Matters: Comparing LLM Hallucination Rates for Place-Based Legal Queries","created":"2025-11-10","cited_by_count":3,"area":null},{"id":"2502.07771","title":"Breaking Down Bias: On The Limits of Generalizable Pruning Strategies","created":"2025-02-11","cited_by_count":2,"area":null},{"id":"2509.04498","title":"Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations","created":"2025-09-01","cited_by_count":2,"area":null},{"id":"2601.16349","title":"Regional Bias in Large Language Models","created":"2026-01-22","cited_by_count":2,"area":null},{"id":"2606.13944","title":"LLMs Contain Multitudes: How Deployment Context Reshapes Model-Level Preferences and Values","created":"2026-06-11","cited_by_count":2,"area":null},{"id":"2407.11833","title":"LoFTI: Localization and Factuality Transfer to Indian Locales","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2410.12010","title":"Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs","created":"2024-10-15","cited_by_count":1,"area":null},{"id":"2508.04080","title":"GeoGR^2:Zero-Shot Geospatial Inference via Geostatistically-Guided Iterative Refinement with LLMs","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2602.08872","title":"Large Language Models for Geolocation Extraction in Humanitarian Crisis Response","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2603.14586","title":"The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation","created":"2026-03-15","cited_by_count":1,"area":null},{"id":"2604.20048","title":"Culturally uneven urban perception in large language models","created":"2026-04-21","cited_by_count":1,"area":null},{"id":"2605.00315","title":"Unbox Responsible GeoAI: Navigating Climate Extreme and Disaster Mapping","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2607.13558","title":"Multi-Agent Collaborative Reasoning with Tool-Augmented Evidence for Urban Region Profiling","created":"2026-07-15","cited_by_count":1,"area":null},{"id":"2410.23803","title":"Generative AI for Accessible and Inclusive Extended Reality","created":"2024-10-31","cited_by_count":0,"area":null},{"id":"2411.15051","title":"Fantastic Biases (What are They) and Where to Find Them","created":"2024-11-22","cited_by_count":0,"area":null},{"id":"2501.13720","title":"Musical ethnocentrism in Large Language Models","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2505.02252","title":"Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models","created":"2025-05-04","cited_by_count":0,"area":null},{"id":"2505.12100","title":"Improving Fairness in LLMs Through Testing-Time Adversaries","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2511.00476","title":"Remembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists","created":"2025-11-01","cited_by_count":0,"area":null},{"id":"2601.18698","title":"Are Video Generation Models Geographically Fair? An Attraction-Centric Evaluation of Global Visual Knowledge","created":"2026-01-26","cited_by_count":0,"area":null},{"id":"2603.05710","title":"The Rise of AI in Weather and Climate Information and its Impact on Global Inequality","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2603.08275","title":"AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.14672","title":"SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.21919","title":"SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.01204","title":"Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2606.05187","title":"Geographic Bias and Diversity in AI Evaluation","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2606.06694","title":"The Geography of Algorithmic Judgment: LLM Intermediaries, Place Identity, and Racial Steering in Housing Search","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.18124","title":"Unintended Effects of Geographic Conditioning in Large Language Models","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2606.26099","title":"Benchmarking Open-Weight Foundation Models for Global AI Technical Governance","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2606.28369","title":"Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2607.27022","title":"Evaluating Regional Bias in LLMs From Abstract Stereotype to Concrete Social Decision-Making","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.02949","title":"On the missing data layer and a potential solution","created":"2026-08-03","cited_by_count":0,"area":null},{"id":"2608.02971","title":"Mapping the City Through the Lens of Language Models","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.02996","title":"On the missing benchmarks layer and a potential solution","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.07353","title":"Geo-Spatial Concept Probing of Large Language Models: Abstraction, Compositionality, and Grounding","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2608.26188","title":"Is Your Neighborhood Safe? Place-based Stigma in Large Language Models' Urban Safety Judgments","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.00345","title":"Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2610.00031","title":"Seeing the City or Recognizing the Place? What Street-View Imagery Adds Beyond Existing Urban Data in VLM-Based Urban Sensing","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}