{"total":21,"rows":[{"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":"2601.09708","title":"Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning","created":"2026-01-14","cited_by_count":24,"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":"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":"2602.06339","title":"Action Hallucination in Generative Vision-Language-Action Models","created":"2026-02-06","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":"2605.17268","title":"Is VLA Reasoning Faithful? Probing Safety of Chain-of-Causation in Autonomous Driving Models","created":"2026-05-17","cited_by_count":2,"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":"2606.14010","title":"RT-VLA: Real-Time Vision-Language-Action Models via Knowledge Distillation","created":"2026-06-12","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":"2607.15004","title":"CosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV Tracking","created":"2026-07-16","cited_by_count":1,"area":"vla"},{"id":"2608.00315","title":"Towards General Language-Conditioned Latent Safety Filters","created":"2026-07-31","cited_by_count":1,"area":"vla"},{"id":"2608.04510","title":"GUARD: Grounding Uncertainty and Ablation-Based Risk Detection for Diffusion-Based VLAs","created":"2026-08-05","cited_by_count":1,"area":"vla"},{"id":"2608.07621","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","created":"2026-08-07","cited_by_count":1,"area":"vla"},{"id":"2605.29114","title":"ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving","created":"2026-05-27","cited_by_count":0,"area":"vla"},{"id":"2605.31041","title":"Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?","created":"2026-05-29","cited_by_count":0,"area":"vla"},{"id":"2608.12932","title":"FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving","created":"2026-08-13","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":"2610.17540","title":"TacitVLA: Reasoning Vision-Language-Action Models Without Reasoning Latency","created":"2026-10-13","cited_by_count":0,"area":"vla"}],"next_cursor":null}