{"total":252,"rows":[{"id":"2506.13757","title":"AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning","created":"2025-06-16","cited_by_count":260,"area":"lr"},{"id":"2506.08052","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","created":"2025-06-09","cited_by_count":198,"area":"mllm"},{"id":"2503.19755","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","created":"2025-03-25","cited_by_count":178,"area":"lr"},{"id":"2503.23463","title":"OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model","created":"2025-03-30","cited_by_count":176,"area":"vla"},{"id":"2410.22313","title":"Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving","created":"2024-10-29","cited_by_count":156,"area":"mllm"},{"id":"2504.01941","title":"End-to-End Driving with Online Trajectory Evaluation via BEV World Model","created":"2025-04-02","cited_by_count":151,"area":"wm"},{"id":"2503.09594","title":"SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment","created":"2025-03-12","cited_by_count":150,"area":"driving"},{"id":"2511.00088","title":"Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail","created":"2025-10-30","cited_by_count":146,"area":"lr"},{"id":"2503.07656","title":"DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving","created":"2025-03-07","cited_by_count":126,"area":"driving"},{"id":"2408.00415","title":"DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving","created":"2024-08-01","cited_by_count":98,"area":"driving"},{"id":"2505.16278","title":"DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving","created":"2025-05-22","cited_by_count":86,"area":"vla"},{"id":"2503.03125","title":"Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving","created":"2025-03-05","cited_by_count":84,"area":"driving"},{"id":"2506.24044","title":"A Survey on Vision-Language-Action Models for Autonomous Driving","created":"2025-06-30","cited_by_count":72,"area":"mllm"},{"id":"2505.23757","title":"Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models","created":"2025-05-29","cited_by_count":60,"area":"vla"},{"id":"2509.19012","title":"Pure Vision Language Action (VLA) Models: A Comprehensive Survey","created":"2025-09-23","cited_by_count":49,"area":"mllm"},{"id":"2408.09251","title":"V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models","created":"2024-08-17","cited_by_count":47,"area":"mllm"},{"id":"2505.16394","title":"Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)","created":"2025-05-22","cited_by_count":47,"area":"wm"},{"id":"2607.05147","title":"DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation","created":"2026-07-06","cited_by_count":45,"area":"inference"},{"id":"2506.09981","title":"ReSim: Reliable World Simulation for Autonomous Driving","created":"2025-06-11","cited_by_count":44,"area":"wm"},{"id":"2503.11650","title":"Centaur: Robust End-to-End Autonomous Driving with Test-Time Training","created":"2025-03-14","cited_by_count":42,"area":"driving"},{"id":"2505.15111","title":"iPad: Iterative Proposal-centric End-to-End Autonomous Driving","created":"2025-05-21","cited_by_count":42,"area":"driving"},{"id":"2510.04333","title":"RAP: 3D Rasterization Augmented End-to-End Planning","created":"2025-10-05","cited_by_count":41,"area":"driving"},{"id":"2503.12030","title":"Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training","created":"2025-03-15","cited_by_count":39,"area":"driving"},{"id":"2509.17940","title":"DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving","created":"2025-09-22","cited_by_count":39,"area":"driving"},{"id":"2601.05640","title":"SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving","created":"2026-01-09","cited_by_count":38,"area":"mllm"},{"id":"2503.08612","title":"HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder","created":"2025-03-11","cited_by_count":35,"area":"driving"},{"id":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2412.09602","title":"Hidden Biases of End-to-End Driving Datasets","created":"2024-12-12","cited_by_count":30,"area":"driving"},{"id":"2601.22032","title":"Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving","created":"2026-01-29","cited_by_count":30,"area":"driving"},{"id":"2502.10498","title":"The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey","created":"2025-02-14","cited_by_count":29,"area":"wm"},{"id":"2406.17680","title":"End-to-End Autonomous Driving without Costly Modularization and 3D Manual Annotation","created":"2024-06-25","cited_by_count":28,"area":"driving"},{"id":"2512.10719","title":"SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving","created":"2025-12-11","cited_by_count":28,"area":"lr"},{"id":"2503.12170","title":"DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving","created":"2025-03-15","cited_by_count":26,"area":"diffusion"},{"id":"2603.29163","title":"SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving","created":"2026-03-31","cited_by_count":26,"area":"driving"},{"id":"2412.14689","title":"How to Synthesize Text Data without Model Collapse?","created":"2024-12-19","cited_by_count":25,"area":"synth"},{"id":"2502.14917","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","created":"2025-02-19","cited_by_count":25,"area":"driving"},{"id":"2508.11428","title":"ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving","created":"2025-08-15","cited_by_count":25,"area":"driving"},{"id":"2512.13636","title":"MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning","created":"2025-12-15","cited_by_count":25,"area":"vla"},{"id":"2501.13072","title":"AdaWM: Adaptive World Model based Planning for Autonomous Driving","created":"2025-01-22","cited_by_count":24,"area":"wm"},{"id":"2512.20563","title":"LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving","created":"2025-12-23","cited_by_count":23,"area":"driving"},{"id":"2604.04198","title":"DriveVA: Video Action Models are Zero-Shot Drivers","created":"2026-04-05","cited_by_count":23,"area":"wm"},{"id":"2505.20024","title":"ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving","created":"2025-05-26","cited_by_count":22,"area":"lr"},{"id":"2511.18729","title":"GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving","created":"2025-11-24","cited_by_count":22,"area":"diffusion"},{"id":"2601.04453","title":"UniDrive-WM: Unified Understanding, Planning and Generation World Model for Autonomous Driving","created":"2026-01-07","cited_by_count":20,"area":"wm"},{"id":"2506.09800","title":"Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":19,"area":"driving"},{"id":"2604.02190","title":"UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving","created":"2026-04-02","cited_by_count":19,"area":"vla"},{"id":"2509.23589","title":"BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving","created":"2025-09-28","cited_by_count":18,"area":"diffusion"},{"id":"2506.06218","title":"STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving","created":"2025-06-06","cited_by_count":17,"area":"mllm"},{"id":"2507.04049","title":"DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving","created":"2025-07-05","cited_by_count":17,"area":"diffusion"},{"id":"2604.08535","title":"Fail2Drive: Benchmarking Closed-Loop Driving Generalization","created":"2026-04-09","cited_by_count":17,"area":"driving"},{"id":"2412.10713","title":"RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors","created":"2024-12-14","cited_by_count":16,"area":"deeprl"},{"id":"2505.15880","title":"Challenger: Affordable Adversarial Driving Video Generation","created":"2025-05-21","cited_by_count":16,"area":"driving"},{"id":"2505.15925","title":"VERDI: VLM-Embedded Reasoning for Autonomous Driving","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2506.00034","title":"GaussianFusion: Gaussian-Based Multi-Sensor Fusion for End-to-End Autonomous Driving","created":"2025-05-27","cited_by_count":16,"area":"driving"},{"id":"2507.12499","title":"ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving","created":"2025-07-16","cited_by_count":15,"area":"lr"},{"id":"2510.08562","title":"ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving","created":"2025-10-09","cited_by_count":14,"area":"driving"},{"id":"2511.19912","title":"Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving","created":"2025-11-25","cited_by_count":14,"area":"lr"},{"id":"2606.17030","title":"Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation","created":"2026-06-15","cited_by_count":14,"area":"wm"},{"id":"2406.10667","title":"UniZero: Generalized and Efficient Planning with Scalable Latent World Models","created":"2024-06-15","cited_by_count":12,"area":"wm"},{"id":"2503.08162","title":"FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback","created":"2025-03-11","cited_by_count":12,"area":"driving"},{"id":"2602.08440","title":"SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios","created":"2026-02-09","cited_by_count":11,"area":"vla"},{"id":"2603.11041","title":"DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving","created":"2026-03-11","cited_by_count":11,"area":"vla"},{"id":"2410.15281","title":"LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends","created":"2024-10-20","cited_by_count":10,"area":"driving"},{"id":"2412.02689","title":"Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving","created":"2024-12-03","cited_by_count":10,"area":"driving"},{"id":"2505.16902","title":"RealEngine: Simulating Autonomous Driving in Realistic Context","created":"2025-05-22","cited_by_count":10,"area":"wm"},{"id":"2602.21952","title":"MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving","created":"2026-02-25","cited_by_count":10,"area":"lr"},{"id":"2604.01259","title":"Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models","created":"2026-04-01","cited_by_count":10,"area":"mllm"},{"id":"2408.06832","title":"FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving","created":"2024-08-13","cited_by_count":9,"area":null},{"id":"2503.15029","title":"DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling","created":"2025-03-19","cited_by_count":9,"area":null},{"id":"2505.05098","title":"X-Driver: Explainable Autonomous Driving with Vision-Language Models","created":"2025-05-08","cited_by_count":9,"area":"mllm"},{"id":"2506.07725","title":"ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models","created":"2025-06-09","cited_by_count":9,"area":null},{"id":"2507.21610","title":"Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition","created":"2025-07-29","cited_by_count":9,"area":"driving"},{"id":"2511.19221","title":"Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving","created":"2025-11-24","cited_by_count":9,"area":"mllm"},{"id":"2602.13301","title":"DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving","created":"2026-02-09","cited_by_count":9,"area":"driving"},{"id":"2603.01441","title":"Unifying Language-Action Understanding and Generation for Autonomous Driving","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"id":"2603.14851","title":"AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving","created":"2026-03-16","cited_by_count":9,"area":"mllm"},{"id":"2604.10856","title":"BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving","created":"2026-04-12","cited_by_count":9,"area":"driving"},{"id":"2605.31572","title":"nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving","created":"2026-05-29","cited_by_count":9,"area":"driving"},{"id":"2506.10145","title":"RoCA: Robust Cross-Domain End-to-End Autonomous Driving","created":"2025-06-11","cited_by_count":8,"area":"driving"},{"id":"2508.02028","title":"Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving","created":"2025-08-04","cited_by_count":8,"area":"mllm"},{"id":"2511.07292","title":"PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving","created":"2025-11-10","cited_by_count":8,"area":"driving"},{"id":"2512.17370","title":"TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data","created":"2025-12-19","cited_by_count":8,"area":"driving"},{"id":"2602.18887","title":"SafeDrive: Fine-Grained Safety Reasoning for End-to-End Driving in a Sparse World","created":"2026-02-21","cited_by_count":8,"area":"driving"},{"id":"2603.14972","title":"Learning from Mistakes: Post-Training for Driving VLA with Takeover Data","created":"2026-03-16","cited_by_count":8,"area":"driving"},{"id":"2606.01164","title":"Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends","created":"2026-05-31","cited_by_count":8,"area":"wm"},{"id":"2606.19836","title":"World Engine: Towards the Era of Post-Training for Autonomous Driving","created":"2026-06-18","cited_by_count":8,"area":"driving"},{"id":"2507.05227","title":"NavigScene: Bridging Local Perception and Global Navigation for Beyond-Visual-Range Autonomous Driving","created":"2025-07-07","cited_by_count":7,"area":"mllm"},{"id":"2510.14677","title":"When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks","created":"2025-10-16","cited_by_count":7,"area":null},{"id":"2511.11266","title":"GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving","created":"2025-11-14","cited_by_count":7,"area":"mllm"},{"id":"2603.18561","title":"CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention","created":"2026-03-19","cited_by_count":7,"area":"driving"},{"id":"2504.12667","title":"Fully Unified Motion Planning for End-to-End Autonomous Driving","created":"2025-04-17","cited_by_count":6,"area":"driving"},{"id":"2506.11419","title":"FocalAD: Local Motion Planning for End-to-End Autonomous Driving","created":"2025-06-13","cited_by_count":6,"area":"driving"},{"id":"2601.11475","title":"Generative Scenario Rollouts for End-to-End Autonomous Driving","created":"2026-01-16","cited_by_count":6,"area":"vla"},{"id":"2605.00066","title":"Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive","created":"2026-04-30","cited_by_count":6,"area":"driving"},{"id":"2606.16274","title":"GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving","created":"2026-06-15","cited_by_count":6,"area":"wm"},{"id":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"area":"wm"},{"id":"2410.08616","title":"Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking","created":"2024-10-11","cited_by_count":5,"area":"mllm"},{"id":"2507.14456","title":"GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving","created":"2025-07-19","cited_by_count":5,"area":"driving"},{"id":"2509.23922","title":"DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation","created":"2025-09-28","cited_by_count":5,"area":"driving"},{"id":"2510.15446","title":"VDRive: Leveraging Reinforced VLA and Diffusion Policy for End-to-end Autonomous Driving","created":"2025-10-17","cited_by_count":5,"area":"diffusion"}],"next_cursor":"100"}