{"total":32,"rows":[{"id":"2312.02003","title":"A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly","created":"2023-12-04","cited_by_count":387,"area":null},{"id":"2404.01014","title":"Harnessing Large Language Models for Training-free Video Anomaly Detection","created":"2024-04-01","cited_by_count":87,"area":null},{"id":"2407.08735","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","created":"2024-07-11","cited_by_count":68,"area":null},{"id":"2307.07930","title":"GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT","created":"2023-07-16","cited_by_count":41,"area":null},{"id":"2503.08663","title":"Generating Robot Constitutions & Benchmarks for Semantic Safety","created":"2025-03-11","cited_by_count":33,"area":null},{"id":"2402.07320","title":"Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets","created":"2024-02-11","cited_by_count":25,"area":null},{"id":"2402.02968","title":"Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives","created":"2024-02-05","cited_by_count":23,"area":null},{"id":"2406.08824","title":"LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions","created":"2024-06-13","cited_by_count":22,"area":null},{"id":"2408.14307","title":"LLM-3D Print: Large Language Models To Monitor and Control 3D Printing","created":"2024-08-26","cited_by_count":18,"area":null},{"id":"2403.19031","title":"Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data","created":"2024-03-27","cited_by_count":11,"area":null},{"id":"2411.16554","title":"Generating Out-Of-Distribution Scenarios Using Language Models","created":"2024-11-25","cited_by_count":10,"area":null},{"id":"2505.10547","title":"Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning","created":"2025-05-15","cited_by_count":10,"area":null},{"id":"2405.02288","title":"Prospective Role of Foundation Models in Advancing Autonomous Vehicles","created":"2023-12-08","cited_by_count":7,"area":null},{"id":"2410.15489","title":"Generative AI Agents in Autonomous Machines: A Safety Perspective","created":"2024-10-20","cited_by_count":7,"area":null},{"id":"2408.11221","title":"On the Potential of Open-Vocabulary Models for Object Detection in Unusual Street Scenes","created":"2024-08-20","cited_by_count":5,"area":null},{"id":"2408.11700","title":"Supervised Representation Learning towards Generalizable Assembly State Recognition","created":"2024-08-21","cited_by_count":3,"area":null},{"id":"2502.06911","title":"Foundation Models for Anomaly Detection: Vision and Challenges","created":"2025-02-10","cited_by_count":3,"area":null},{"id":"2505.07998","title":"Vision Foundation Model Embedding-Based Semantic Anomaly Detection","created":"2025-05-12","cited_by_count":3,"area":null},{"id":"2410.08491","title":"Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions","created":"2024-10-11","cited_by_count":2,"area":null},{"id":"2411.10918","title":"INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection","created":"2024-11-17","cited_by_count":2,"area":null},{"id":"2502.02773","title":"SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs","created":"2025-02-04","cited_by_count":2,"area":null},{"id":"2506.10093","title":"Leveraging LLMs for Mission Planning in Precision Agriculture","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2506.10106","title":"One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2510.19268","title":"Hierarchical DLO Routing with Reinforcement Learning and In-Context Vision-language Models","created":"2025-10-22","cited_by_count":2,"area":null},{"id":"2502.14880","title":"KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models","created":"2025-02-14","cited_by_count":1,"area":null},{"id":"2512.11944","title":"A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach","created":"2025-12-12","cited_by_count":1,"area":null},{"id":"2404.05183","title":"Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2510.18034","title":"Can VLMs Unlock Semantic Anomaly Detection? A Framework for Structured Reasoning","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2511.01541","title":"Driving scenario generation and evaluation using a structured layer representation and foundational models","created":"2025-11-03","cited_by_count":0,"area":null},{"id":"2512.01427","title":"Language-Guided Open-World Anomaly Segmentation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2512.24470","title":"Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2607.18325","title":"Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies","created":"2026-07-18","cited_by_count":0,"area":null}],"next_cursor":null}