{"total":334,"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":"2505.17685","title":"FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving","created":"2025-05-23","cited_by_count":166,"area":"vla"},{"id":"2412.06224","title":"Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks","created":"2024-12-09","cited_by_count":156,"area":"vla"},{"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":"2510.12796","title":"DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving","created":"2025-10-14","cited_by_count":134,"area":"wm"},{"id":"2503.07608","title":"AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning","created":"2025-03-10","cited_by_count":108,"area":"lr"},{"id":"2506.06659","title":"DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning","created":"2025-06-07","cited_by_count":94,"area":null},{"id":"2502.13144","title":"RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning","created":"2025-02-18","cited_by_count":79,"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":"2504.19580","title":"ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving","created":"2025-04-28","cited_by_count":67,"area":"driving"},{"id":"2506.06664","title":"Generalized Trajectory Scoring for End-to-end Multimodal Planning","created":"2025-06-07","cited_by_count":67,"area":null},{"id":"2505.19381","title":"DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving","created":"2025-05-26","cited_by_count":64,"area":"diffusion"},{"id":"2509.13769","title":"AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving","created":"2025-09-17","cited_by_count":58,"area":"lr"},{"id":"2512.07745","title":"DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving","created":"2025-12-08","cited_by_count":56,"area":"diffusion"},{"id":"2505.23189","title":"TrackVLA: Embodied Visual Tracking in the Wild","created":"2025-05-29","cited_by_count":47,"area":null},{"id":"2512.23421","title":"DriveLaW:Unifying Planning and Video Generation in a Latent Driving World","created":"2025-12-29","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":"2601.05083","title":"Driving on Registers","created":"2026-01-08","cited_by_count":44,"area":"driving"},{"id":"2509.18905","title":"How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective","created":"2025-09-23","cited_by_count":43,"area":"lr"},{"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":"2503.05153","title":"Generative Trajectory Stitching through Diffusion Composition","created":"2025-03-07","cited_by_count":41,"area":"diffusion"},{"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":"2511.23369","title":"SimScale: Learning to Drive via Real-World Simulation at Scale","created":"2025-11-28","cited_by_count":36,"area":null},{"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":"2510.19654","title":"From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction","created":"2025-10-22","cited_by_count":33,"area":"wm"},{"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":"2603.24581","title":"Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving","created":"2026-03-25","cited_by_count":33,"area":"wm"},{"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":"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":"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":"2509.20109","title":"Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving","created":"2025-09-24","cited_by_count":24,"area":"mllm"},{"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":"2510.11083","title":"Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling","created":"2025-10-13","cited_by_count":22,"area":"diffusion"},{"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":"2505.19239","title":"DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving","created":"2025-05-25","cited_by_count":21,"area":"wm"},{"id":"2506.23982","title":"StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving","created":"2025-06-30","cited_by_count":21,"area":"driving"},{"id":"2602.20794","title":"VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving","created":"2026-02-24","cited_by_count":20,"area":"mllm"},{"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":"2602.14577","title":"DriveFine: Refining-Augmented Masked Diffusion VLA for Precise and Robust Driving","created":"2026-02-16","cited_by_count":19,"area":"vla"},{"id":"2603.01063","title":"Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures","created":"2026-03-01","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":"2503.10434","title":"Learning Personalized Driving Styles via Reinforcement Learning from Human Feedback","created":"2025-03-13","cited_by_count":17,"area":"driving"},{"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":"2604.01765","title":"DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning","created":"2026-04-02","cited_by_count":17,"area":"wm"},{"id":"2604.19710","title":"SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model","created":"2026-04-21","cited_by_count":17,"area":"lr"},{"id":"2605.09701","title":"DriveFuture: Future-Aware Latent World Models for Autonomous Driving","created":"2026-05-10","cited_by_count":17,"area":"wm"},{"id":"2505.15880","title":"Challenger: Affordable Adversarial Driving Video Generation","created":"2025-05-21","cited_by_count":16,"area":"driving"},{"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":"2507.17596","title":"PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving","created":"2025-07-23","cited_by_count":16,"area":"driving"},{"id":"2510.24108","title":"Zero-Human Demonstration End-to-end Autonomous Driving with Trajectory Scorer","created":"2025-10-28","cited_by_count":16,"area":"driving"},{"id":"2512.06112","title":"WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving","created":"2025-12-05","cited_by_count":16,"area":"diffusion"},{"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":"2602.10884","title":"ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving","created":"2026-02-11","cited_by_count":15,"area":"wm"},{"id":"2603.06049","title":"Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models","created":"2026-03-06","cited_by_count":15,"area":"driving"},{"id":"2605.14696","title":"EponaV2: Driving World Model with Comprehensive Future Reasoning","created":"2026-05-14","cited_by_count":15,"area":"wm"},{"id":"2503.13047","title":"InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving","created":"2025-03-17","cited_by_count":14,"area":"driving"},{"id":"2508.05402","title":"DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model","created":"2025-08-07","cited_by_count":14,"area":"driving"},{"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":"2511.20325","title":"AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models","created":"2025-11-25","cited_by_count":14,"area":"wm"},{"id":"2605.28544","title":"DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving","created":"2026-05-27","cited_by_count":14,"area":"wm"},{"id":"2509.23468","title":"Multi-Modal Manipulation via Multi-Modal Policy Consensus","created":"2025-09-27","cited_by_count":13,"area":null},{"id":"2603.14948","title":"Bridging Scene Generation and Planning: Driving with World Model via Unifying Vision and Motion Representation","created":"2026-03-16","cited_by_count":13,"area":"wm"},{"id":"2604.00813","title":"DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale","created":"2026-04-01","cited_by_count":13,"area":"driving"},{"id":"2502.20108","title":"VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers","created":"2025-02-27","cited_by_count":12,"area":"diffusion"},{"id":"2504.10485","title":"Decoupled Diffusion Sparks Adaptive Scene Generation","created":"2025-04-14","cited_by_count":12,"area":null},{"id":"2507.22028","title":"From Seeing to Experiencing: Scaling Navigation Foundation Models with Reinforcement Learning","created":"2025-07-29","cited_by_count":12,"area":null},{"id":"2604.02714","title":"ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving","created":"2026-04-03","cited_by_count":12,"area":"wm"},{"id":"2605.10426","title":"CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving","created":"2026-05-11","cited_by_count":12,"area":"wm"},{"id":"2506.11234","title":"Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving","created":"2025-06-12","cited_by_count":11,"area":"driving"},{"id":"2512.22939","title":"ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving","created":"2025-12-28","cited_by_count":11,"area":"lr"},{"id":"2602.22801","title":"Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving","created":"2026-02-26","cited_by_count":11,"area":"diffusion"},{"id":"2603.27287","title":"Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving","created":"2026-03-28","cited_by_count":11,"area":"wm"},{"id":"2605.15120","title":"CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning","created":"2026-05-14","cited_by_count":11,"area":"driving"},{"id":"2606.15869","title":"Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation","created":"2026-06-14","cited_by_count":11,"area":"wm"},{"id":"2505.16902","title":"RealEngine: Simulating Autonomous Driving in Realistic Context","created":"2025-05-22","cited_by_count":10,"area":"wm"},{"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":"2512.15713","title":"DiffusionVL: Translating Any Autoregressive Models into Diffusion Vision Language Models","created":"2025-12-17","cited_by_count":10,"area":"mllm"},{"id":"2601.05611","title":"FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving","created":"2026-01-09","cited_by_count":10,"area":"mllm"},{"id":"2602.21952","title":"MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving","created":"2026-02-25","cited_by_count":10,"area":"lr"},{"id":"2505.19516","title":"DiffE2E: Rethinking End-to-End Driving with a Hybrid Action Diffusion and Supervised Policy","created":"2025-05-26","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":"2603.01441","title":"Unifying Language-Action Understanding and Generation for Autonomous Driving","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"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":"2608.07468","title":"SimWAM: A Simple World Action Model for End-to-End Autonomous Driving","created":"2026-08-07","cited_by_count":9,"area":"wm"},{"id":"2609.00111","title":"Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving","created":"2026-08-31","cited_by_count":9,"area":"mllm"},{"id":"2512.00723","title":"TrajDiff: End-to-end Autonomous Driving without Perception Annotation","created":"2025-11-30","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":"2604.15308","title":"RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework","created":"2026-04-16","cited_by_count":8,"area":"deeprl"}],"next_cursor":"100"}