{"total":30,"rows":[{"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":"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":"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":"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":"2602.13329","title":"HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving","created":"2026-02-11","cited_by_count":5,"area":"vla"},{"id":"2605.23163","title":"Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving","created":"2026-05-22","cited_by_count":5,"area":"vla"},{"id":"2603.09465","title":"EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation","created":"2026-03-10","cited_by_count":3,"area":"vla"},{"id":"2605.31271","title":"DriveMA: Driving Vision-Language-Action Models with verifiable Meta-Actions","created":"2026-05-29","cited_by_count":2,"area":"vla"},{"id":"2606.08288","title":"MotionVLA: Injecting Geometric Motion into Vision-Language-Action Model","created":"2026-06-06","cited_by_count":2,"area":"vla"},{"id":"2606.22913","title":"Intend, Reflect, Refine: An Adaptive Multimodal Reflection Framework for Autonomous Driving","created":"2026-06-22","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":"2605.14201","title":"MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving","created":"2026-05-13","cited_by_count":1,"area":"vla"},{"id":"2605.17284","title":"CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving","created":"2026-05-17","cited_by_count":1,"area":"vla"},{"id":"2607.01658","title":"Teaching Vision-Language-Action Models What to See and Where to Look","created":"2026-07-02","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":"2605.08830","title":"VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving","created":"2026-05-09","cited_by_count":0,"area":"vla"},{"id":"2608.20890","title":"A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving","created":"2026-08-21","cited_by_count":0,"area":"vla"},{"id":"2609.15169","title":"GRAVA: Grounded Reasoning-to-Action Representation and Learning for Autonomous Driving","created":"2026-09-14","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"},{"id":"2609.27747","title":"Less Language, More Latents: Annotation-Efficient VLAs for Driving","created":"2026-09-23","cited_by_count":0,"area":"vla"},{"id":"2609.34387","title":"CAR-VLA: Complexity-Aware and Risk-Adaptive Reasoning for Autonomous Driving","created":"2026-09-28","cited_by_count":0,"area":"vla"},{"id":"2609.35078","title":"RefineDrive: Reliable Failure-Guided Learning for Vision-Language-Action Driving","created":"2026-09-28","cited_by_count":0,"area":"vla"},{"id":"2610.16985","title":"AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding","created":"2026-10-12","cited_by_count":0,"area":"vla"}],"next_cursor":null}