{"total":29,"rows":[{"id":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2503.00211","title":"SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models","created":"2025-02-28","cited_by_count":23,"area":"driving"},{"id":"2501.15850","title":"LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language Models","created":"2025-01-27","cited_by_count":19,"area":"driving"},{"id":"2604.08535","title":"Fail2Drive: Benchmarking Closed-Loop Driving Generalization","created":"2026-04-09","cited_by_count":17,"area":"driving"},{"id":"2409.09575","title":"Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model","created":"2024-09-15","cited_by_count":14,"area":"driving"},{"id":"2512.09864","title":"UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving","created":"2025-12-10","cited_by_count":10,"area":"driving"},{"id":"2502.02145","title":"From Words to Collisions: LLM-Guided Evaluation and Adversarial Generation of Safety-Critical Driving Scenarios","created":"2025-02-04","cited_by_count":8,"area":"driving"},{"id":"2505.17727","title":"SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain","created":"2025-05-23","cited_by_count":7,"area":"driving"},{"id":"2601.12672","title":"VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness","created":"2026-01-19","cited_by_count":6,"area":"driving"},{"id":"2508.14527","title":"Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles","created":"2025-08-20","cited_by_count":5,"area":"driving"},{"id":"2410.09829","title":"Conversational Code Generation: a Case Study of Designing a Dialogue System for Generating Driving Scenarios for Testing Autonomous Vehicles","created":"2024-10-13","cited_by_count":4,"area":"driving"},{"id":"2409.14196","title":"Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review","created":"2024-09-21","cited_by_count":3,"area":"driving"},{"id":"2510.24052","title":"SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration","created":"2025-10-28","cited_by_count":3,"area":"driving"},{"id":"2603.15221","title":"ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving","created":"2026-03-16","cited_by_count":3,"area":"driving"},{"id":"2607.07103","title":"A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving","created":"2026-07-08","cited_by_count":3,"area":"driving"},{"id":"2505.13872","title":"Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving","created":"2025-05-20","cited_by_count":2,"area":"driving"},{"id":"2507.01264","title":"LLM-based Realistic Safety-Critical Driving Video Generation","created":"2025-07-02","cited_by_count":2,"area":"driving"},{"id":"2408.15538","title":"TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles","created":"2024-08-28","cited_by_count":1,"area":"driving"},{"id":"2503.23708","title":"Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios","created":"2025-03-31","cited_by_count":1,"area":"driving"},{"id":"2603.11534","title":"Risk-Controllable Multi-View Diffusion for Driving Scenario Generation","created":"2026-03-12","cited_by_count":1,"area":"driving"},{"id":"2604.03497","title":"Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving","created":"2026-04-03","cited_by_count":1,"area":"driving"},{"id":"2609.08965","title":"PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving","created":"2026-09-08","cited_by_count":1,"area":"driving"},{"id":"2504.18010","title":"Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation","created":"2025-04-25","cited_by_count":0,"area":"driving"},{"id":"2603.17714","title":"From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving","created":"2026-03-18","cited_by_count":0,"area":"driving"},{"id":"2605.21168","title":"ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving","created":"2026-05-20","cited_by_count":0,"area":"driving"},{"id":"2606.21993","title":"From Driving Videos to Simulatable Scenarios","created":"2026-06-20","cited_by_count":0,"area":"driving"},{"id":"2608.30179","title":"Open-Source Autonomous Driving System Analysis and Multi-Disciplinary Hardware-in-the-Loop Research Paradigm with Reinforcement-Learning Testing and Large Language Models","created":"2026-08-31","cited_by_count":0,"area":"driving"},{"id":"2609.00242","title":"CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction","created":"2026-08-31","cited_by_count":0,"area":"driving"},{"id":"2609.20318","title":"LLM-Guided Transformation of Non-Critical Driving Scenes into Safety-Critical Scenarios Using Augmented Reality","created":"2026-07-31","cited_by_count":0,"area":"driving"}],"next_cursor":null}