{"total":17,"rows":[{"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":"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":"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":"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":"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":"2604.02190","title":"UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving","created":"2026-04-02","cited_by_count":19,"area":"vla"},{"id":"2603.01441","title":"Unifying Language-Action Understanding and Generation for Autonomous Driving","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"id":"2601.11475","title":"Generative Scenario Rollouts for End-to-End Autonomous Driving","created":"2026-01-16","cited_by_count":6,"area":"vla"},{"id":"2605.12624","title":"MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving","created":"2026-05-12","cited_by_count":6,"area":"vla"},{"id":"2511.12405","title":"VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving","created":"2025-11-16","cited_by_count":5,"area":"vla"},{"id":"2606.12396","title":"VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving","created":"2026-06-10","cited_by_count":3,"area":"vla"},{"id":"2607.02841","title":"CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving","created":"2026-07-03","cited_by_count":2,"area":"vla"},{"id":"2603.25766","title":"ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models","created":"2026-03-26","cited_by_count":1,"area":"vla"},{"id":"2607.03182","title":"AnchorVLA: Bridging Discrete Decisions and Continuous Trajectories for Vision-Language-Action Planning","created":"2026-07-03","cited_by_count":1,"area":"vla"},{"id":"2607.08375","title":"WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving","created":"2026-07-09","cited_by_count":1,"area":"vla"},{"id":"2608.07361","title":"Depth-Wise Probing and Pruning of the Planning Token in a Driving Vision-Language-Action Model","created":"2026-08-07","cited_by_count":0,"area":"vla"},{"id":"2609.18623","title":"FIVE-VLA: Fast and EffectIVE Autonomous Driving with Recurrent Action Memory","created":"2026-09-16","cited_by_count":0,"area":"vla"}],"next_cursor":null}