{"total":55,"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":"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":"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":"2312.03661","title":"Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving","created":"2023-12-06","cited_by_count":123,"area":"lr"},{"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":"2412.14446","title":"VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision","created":"2024-12-19","cited_by_count":86,"area":"lr"},{"id":"2405.10825","title":"Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities","created":"2024-05-17","cited_by_count":83,"area":"lr"},{"id":"2401.12242","title":"BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models","created":"2024-01-20","cited_by_count":80,"area":"lr"},{"id":"2403.16996","title":"DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving","created":"2024-03-25","cited_by_count":67,"area":"lr"},{"id":"2408.13890","title":"Making Large Language Models Better Planners with Reasoning-Decision Alignment","created":"2024-08-25","cited_by_count":52,"area":"lr"},{"id":"2411.18275","title":"Visual Adversarial Attack on Vision-Language Models for Autonomous Driving","created":"2024-11-27","cited_by_count":36,"area":"lr"},{"id":"2411.13112","title":"SURDS: Benchmarking Spatial Understanding and Reasoning in Driving Scenarios with Vision Language Models","created":"2024-11-20","cited_by_count":29,"area":"lr"},{"id":"2512.10719","title":"SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving","created":"2025-12-11","cited_by_count":28,"area":"lr"},{"id":"2405.01533","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2024-05-02","cited_by_count":27,"area":"lr"},{"id":"2405.20774","title":"Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems","created":"2024-05-27","cited_by_count":27,"area":"lr"},{"id":"2509.16645","title":"ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents","created":"2025-09-20","cited_by_count":23,"area":"lr"},{"id":"2512.24426","title":"Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning","created":"2025-12-30","cited_by_count":22,"area":"lr"},{"id":"2405.18361","title":"Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?","created":"2024-05-28","cited_by_count":20,"area":"lr"},{"id":"2505.17659","title":"Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling","created":"2025-05-23","cited_by_count":20,"area":"lr"},{"id":"2407.04281","title":"WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving","created":"2024-07-05","cited_by_count":19,"area":"lr"},{"id":"2412.02025","title":"PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving","created":"2024-12-02","cited_by_count":17,"area":"lr"},{"id":"2509.05578","title":"OccVLA: Vision-Language-Action Model with Implicit 3D Occupancy Supervision","created":"2025-09-06","cited_by_count":17,"area":"lr"},{"id":"2505.15925","title":"VERDI: VLM-Embedded Reasoning for Autonomous Driving","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2409.11182","title":"Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving","created":"2024-09-16","cited_by_count":11,"area":"lr"},{"id":"2505.02123","title":"DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving","created":"2025-05-04","cited_by_count":11,"area":"lr"},{"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":"2511.20022","title":"WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving","created":"2025-11-25","cited_by_count":9,"area":"lr"},{"id":"2406.17520","title":"Tell Me Where You Are: Multimodal LLMs Meet Place Recognition","created":"2024-06-25","cited_by_count":7,"area":"lr"},{"id":"2409.18053","title":"DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving","created":"2024-09-26","cited_by_count":6,"area":"lr"},{"id":"2511.06256","title":"VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving","created":"2025-11-09","cited_by_count":6,"area":"lr"},{"id":"2507.05934","title":"BlueLM-2.5-3B Technical Report","created":"2025-07-08","cited_by_count":5,"area":"lr"},{"id":"2510.04532","title":"More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models","created":"2025-10-06","cited_by_count":3,"area":"lr"},{"id":"2605.10744","title":"C-CoT: Counterfactual Chain-of-Thought with Vision-Language Models for Safe Autonomous Driving","created":"2026-05-11","cited_by_count":3,"area":"lr"},{"id":"2408.01682","title":"Multi-Frame Vision-Language Model for Long-form Reasoning in Driver Behavior Analysis","created":"2024-08-03","cited_by_count":2,"area":"lr"},{"id":"2512.16461","title":"SNOW: Spatio-Temporal Scene Understanding with World Knowledge for Open-World Embodied Reasoning","created":"2025-12-18","cited_by_count":2,"area":"lr"},{"id":"2603.02035","title":"LAD-Drive: Bridging Language and Trajectory with Action-Aware Diffusion Transformers","created":"2026-03-02","cited_by_count":2,"area":"lr"},{"id":"2603.04222","title":"PRAM-R: A Perception-Reasoning-Action-Memory Framework with LLM-Guided Modality Routing for Adaptive Autonomous Driving","created":"2026-03-04","cited_by_count":2,"area":"lr"},{"id":"2604.15705","title":"Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning","created":"2026-04-17","cited_by_count":2,"area":"lr"},{"id":"2604.22851","title":"EgoDyn-Bench: Evaluating Ego-Motion Understanding in Vision-Centric Foundation Models for Autonomous Driving","created":"2026-04-22","cited_by_count":2,"area":"lr"},{"id":"2605.31256","title":"Before Parc Ferm\\'e: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving","created":"2026-05-29","cited_by_count":2,"area":"lr"},{"id":"2510.19001","title":"Robust Driving QA through Metadata-Grounded Context and Task-Specific Prompts","created":"2025-10-21","cited_by_count":1,"area":"lr"},{"id":"2606.23938","title":"Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs","created":"2026-06-22","cited_by_count":1,"area":"lr"},{"id":"2606.31160","title":"Reasoning-aware Speculative Decoding for Efficient Vision-Language-Action Models in Autonomous Driving","created":"2026-06-30","cited_by_count":1,"area":"lr"},{"id":"2607.15621","title":"Think at 5 Hz, Act at 20 Hz: Asynchronous Fast-Slow Vision-Language-Action Inference for Closed-Loop Driving","created":"2026-07-17","cited_by_count":1,"area":"lr"},{"id":"2609.04070","title":"Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving","created":"2026-09-03","cited_by_count":1,"area":"lr"},{"id":"2502.20573","title":"Visual Reasoning at Urban Intersections: FineTuning GPT-4o for Traffic Conflict Detection","created":"2025-02-27","cited_by_count":0,"area":"lr"},{"id":"2601.08434","title":"Large Multimodal Models for Embodied Intelligent Driving: The Next Frontier in Self-Driving?","created":"2026-01-13","cited_by_count":0,"area":"lr"},{"id":"2602.11860","title":"Talk2DM: Enabling Natural Language Querying and Commonsense Reasoning for Vehicle-Road-Cloud Integrated Dynamic Maps with Large Language Models","created":"2026-02-12","cited_by_count":0,"area":"lr"},{"id":"2603.12421","title":"A Neuro-Symbolic Framework Combining Inductive and Deductive Reasoning for Autonomous Driving Planning","created":"2026-03-12","cited_by_count":0,"area":"lr"},{"id":"2606.24759","title":"UniDrive: A Unified Vision-Language and Grounding Framework for Interpretable Risk Understanding in Autonomous Driving","created":"2026-06-23","cited_by_count":0,"area":"lr"},{"id":"2607.04637","title":"PixelPilot: Scalable Vision-Language-Action Models for End-to-End Autonomous Driving","created":"2026-07-06","cited_by_count":0,"area":"lr"},{"id":"2607.24199","title":"Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding","created":"2026-07-27","cited_by_count":0,"area":"lr"},{"id":"2607.29052","title":"Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving","created":"2026-07-31","cited_by_count":0,"area":"lr"},{"id":"2608.02449","title":"MoRAL: Sensor-Grounded BEV Reasoning for Compact VLMs toward Edge-Oriented Autonomous Driving","created":"2026-08-03","cited_by_count":0,"area":"lr"},{"id":"2609.29601","title":"Free the Language Model From the Vision Encoder: Semantic Serialization as a Perception Interface for Small Language Models","created":"2026-08-29","cited_by_count":0,"area":"lr"}],"next_cursor":null}