{"total":89,"rows":[{"id":"2312.14150","title":"DriveLM: Driving with Graph Visual Question Answering","created":"2023-12-21","cited_by_count":536,"area":"mllm"},{"id":"2311.12320","title":"A Survey on Multimodal Large Language Models for Autonomous Driving","created":"2023-11-21","cited_by_count":290,"area":"mllm"},{"id":"2402.11411","title":"Aligning Modalities in Vision Large Language Models via Preference Fine-tuning","created":"2024-02-18","cited_by_count":198,"area":"alignment"},{"id":"2310.03026","title":"LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving","created":"2023-10-04","cited_by_count":190,"area":"driving"},{"id":"2310.14414","title":"Vision Language Models in Autonomous Driving: A Survey and Outlook","created":"2023-10-22","cited_by_count":126,"area":"mllm"},{"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":"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":"2409.03272","title":"OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving","created":"2024-09-05","cited_by_count":83,"area":"wm"},{"id":"2401.00988","title":"Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models","created":"2024-01-02","cited_by_count":76,"area":"mllm"},{"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":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2403.04593","title":"Embodied Understanding of Driving Scenarios","created":"2024-03-07","cited_by_count":63,"area":"driving"},{"id":"2402.01105","title":"A Survey for Foundation Models in Autonomous Driving","created":"2024-02-02","cited_by_count":52,"area":"driving"},{"id":"2312.04372","title":"LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs","created":"2023-12-07","cited_by_count":45,"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":"2506.11526","title":"Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis","created":"2025-06-13","cited_by_count":38,"area":"driving"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2403.08337","title":"LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments","created":"2024-03-13","cited_by_count":31,"area":null},{"id":"2312.04316","title":"Towards Knowledge-driven Autonomous Driving","created":"2023-12-07","cited_by_count":29,"area":"driving"},{"id":"2502.06419","title":"Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models","created":"2025-02-10","cited_by_count":28,"area":"driving"},{"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":"2503.03074","title":"BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving","created":"2025-03-05","cited_by_count":26,"area":"driving"},{"id":"2503.12170","title":"DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving","created":"2025-03-15","cited_by_count":26,"area":"diffusion"},{"id":"2403.08032","title":"LG-Traj: LLM Guided Pedestrian Trajectory Prediction","created":"2024-03-12","cited_by_count":25,"area":null},{"id":"2502.14917","title":"Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning","created":"2025-02-19","cited_by_count":25,"area":"driving"},{"id":"2402.02968","title":"Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives","created":"2024-02-05","cited_by_count":23,"area":null},{"id":"2504.09724","title":"A Survey on Efficient Vision-Language Models","created":"2025-04-13","cited_by_count":19,"area":"mllm"},{"id":"2311.12144","title":"Applications of Large Scale Foundation Models for Autonomous Driving","created":"2023-11-20","cited_by_count":14,"area":"driving"},{"id":"2503.03262","title":"Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions","created":"2025-03-05","cited_by_count":14,"area":null},{"id":"2503.11265","title":"DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models","created":"2025-03-14","cited_by_count":12,"area":"mllm"},{"id":"2505.08725","title":"Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving","created":"2025-05-13","cited_by_count":10,"area":"mllm"},{"id":"2412.06324","title":"World knowledge-enhanced Reasoning Using Instruction-guided Interactor in Autonomous Driving","created":"2024-12-09","cited_by_count":9,"area":"lr"},{"id":"2406.10540","title":"Generating and Evolving Reward Functions for Highway Driving with Large Language Models","created":"2024-06-15","cited_by_count":8,"area":"driving"},{"id":"2409.00301","title":"ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models","created":"2024-08-30","cited_by_count":8,"area":"mllm"},{"id":"2504.08603","title":"FindAnything: Open-Vocabulary and Object-Centric Mapping for Robot Exploration in Any Environment","created":"2025-04-11","cited_by_count":8,"area":null},{"id":"2504.10757","title":"ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models","created":"2025-04-14","cited_by_count":8,"area":"lr"},{"id":"2507.11261","title":"ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition","created":"2025-07-15","cited_by_count":8,"area":null},{"id":"2403.12176","title":"Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving","created":"2024-03-18","cited_by_count":7,"area":"driving"},{"id":"2405.02288","title":"Prospective Role of Foundation Models in Advancing Autonomous Vehicles","created":"2023-12-08","cited_by_count":7,"area":null},{"id":"2406.09105","title":"INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance","created":"2024-06-13","cited_by_count":7,"area":"mllm"},{"id":"2503.14498","title":"Tracking Meets Large Multimodal Models for Driving Scenario Understanding","created":"2025-03-18","cited_by_count":7,"area":"mllm"},{"id":"2505.00156","title":"V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving","created":"2025-04-30","cited_by_count":7,"area":"mllm"},{"id":"2406.02158","title":"Radar Spectra-Language Model for Automotive Scene Parsing","created":"2024-06-04","cited_by_count":6,"area":null},{"id":"2411.13076","title":"Hints of Prompt: Enhancing Visual Representation for Multimodal LLMs in Autonomous Driving","created":"2024-11-20","cited_by_count":6,"area":"mllm"},{"id":"2509.22756","title":"Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving","created":"2025-09-26","cited_by_count":6,"area":null},{"id":"2509.25944","title":"NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving","created":"2025-09-30","cited_by_count":6,"area":"lr"},{"id":"2505.05240","title":"PADriver: Towards Personalized Autonomous Driving","created":"2025-05-08","cited_by_count":5,"area":"driving"},{"id":"2409.14165","title":"A Survey on Large Language Model-empowered Autonomous Driving","created":"2024-09-21","cited_by_count":4,"area":"driving"},{"id":"2501.06132","title":"CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems","created":"2025-01-10","cited_by_count":4,"area":null},{"id":"2503.13938","title":"ChatBEV: Empowering Traffic Scene Understanding and Simulation via Vision-Language Model","created":"2025-03-18","cited_by_count":4,"area":"mllm"},{"id":"2509.10570","title":"Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey","created":"2025-09-11","cited_by_count":3,"area":"driving"},{"id":"2512.18028","title":"Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation","created":"2025-12-19","cited_by_count":3,"area":null},{"id":"2405.06719","title":"Enhancing Traffic Prediction with Textual Data Using Large Language Models","created":"2024-05-10","cited_by_count":2,"area":null},{"id":"2502.02773","title":"SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs","created":"2025-02-04","cited_by_count":2,"area":null},{"id":"2504.02009","title":"Urban Computing in the Era of Large Language Models","created":"2025-04-02","cited_by_count":2,"area":null},{"id":"2505.13669","title":"GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2509.23641","title":"From Static to Dynamic: a Survey of Topology-Aware Perception in Autonomous Driving","created":"2025-09-28","cited_by_count":2,"area":"driving"},{"id":"2510.08352","title":"Evaluating Small Vision-Language Models on Distance-Dependent Traffic Perception","created":"2025-10-09","cited_by_count":2,"area":"mllm"},{"id":"2605.20942","title":"Bridging Structure and Language: Graph-Based Visual Reasoning for Autonomous Road Understanding","created":"2026-05-20","cited_by_count":2,"area":"lr"},{"id":"2405.17942","title":"Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2406.06211","title":"iMotion-LLM: Instruction-Conditioned Trajectory Generation","created":"2024-06-10","cited_by_count":1,"area":null},{"id":"2503.02076","title":"CorrA: Leveraging Large Language Models for Dynamic Obstacle Avoidance of Autonomous Vehicles","created":"2025-03-03","cited_by_count":1,"area":"driving"},{"id":"2506.05404","title":"AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving","created":"2025-06-04","cited_by_count":1,"area":"mllm"},{"id":"2506.22494","title":"DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios","created":"2025-06-25","cited_by_count":1,"area":"mllm"},{"id":"2601.05806","title":"Modular Autonomy with Conversational Interaction: An LLM-driven Framework for Decision Making in Autonomous Driving","created":"2026-01-09","cited_by_count":1,"area":"driving"},{"id":"2604.07034","title":"KITE: Keyframe-Indexed Tokenized Evidence for VLM-Based Robot Failure Analysis","created":"2026-04-08","cited_by_count":1,"area":"mllm"},{"id":"2607.00283","title":"What's Hidden Matters: Identifying Planning-Critical Occluded Agents using Vision-Language Models","created":"2026-07-01","cited_by_count":1,"area":"mllm"},{"id":"2608.01709","title":"SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language Models","created":"2026-08-03","cited_by_count":1,"area":"lr"},{"id":"2411.03328","title":"Foundation Models for Rapid Autonomy Validation","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2503.18556","title":"Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models","created":"2025-03-24","cited_by_count":0,"area":"mllm"},{"id":"2507.10442","title":"Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities","created":"2025-07-10","cited_by_count":0,"area":"mllm"},{"id":"2508.00917","title":"A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2510.01126","title":"Strategic Fusion of Vision Language Models: Shapley-Credited Context-Aware Dawid-Skene for Multi-Label Tasks in Autonomous Driving","created":"2025-10-01","cited_by_count":0,"area":"mllm"},{"id":"2510.01795","title":"Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving","created":"2025-10-02","cited_by_count":0,"area":"mllm"},{"id":"2511.09025","title":"FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks","created":"2025-11-12","cited_by_count":0,"area":"lr"},{"id":"2511.13753","title":"Robustness of LLM-enabled vehicle trajectory prediction under data security threats","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2512.06096","title":"BeLLA: End-to-End Birds Eye View Large Language Assistant for Autonomous Driving","created":"2025-12-05","cited_by_count":0,"area":"mllm"},{"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":"2603.02528","title":"LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model","created":"2026-03-03","cited_by_count":0,"area":"driving"},{"id":"2603.11380","title":"DriveXQA: Cross-modal Visual Question Answering for Adverse Driving Scene Understanding","created":"2026-03-11","cited_by_count":0,"area":"driving"},{"id":"2604.04564","title":"Visual Prompt Based Reasoning for Offroad Mapping using Multimodal LLMs","created":"2026-04-06","cited_by_count":0,"area":"mllm"},{"id":"2605.04475","title":"Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding","created":"2026-05-06","cited_by_count":0,"area":"driving"},{"id":"2606.11507","title":"SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.04812","title":"TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving","created":"2026-07-06","cited_by_count":0,"area":"driving"},{"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":"2609.00192","title":"LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark","created":"2026-08-31","cited_by_count":0,"area":"driving"},{"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"},{"id":"2609.31636","title":"Grounding Vision-Language Models in Driving Semantics: A Multi-Dataset Predicate Framework for Explainable Reasoning","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.37046","title":"Speed in the Blind Spot: An Interpretability Analysis of Dynamic Perception in VLMs for Autonomous Driving","created":"2026-09-29","cited_by_count":0,"area":"mllm"}],"next_cursor":null}