{"total":21,"rows":[{"id":"2312.14150","title":"DriveLM: Driving with Graph Visual Question Answering","created":"2023-12-21","cited_by_count":536,"area":"mllm"},{"id":"2506.08052","title":"ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving","created":"2025-06-09","cited_by_count":198,"area":"mllm"},{"id":"2510.26125","title":"WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios","created":"2025-10-30","cited_by_count":62,"area":"mllm"},{"id":"2503.12772","title":"NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models","created":"2025-03-17","cited_by_count":30,"area":"mllm"},{"id":"2505.16805","title":"SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving","created":"2025-05-22","cited_by_count":21,"area":"mllm"},{"id":"2501.09167","title":"Embodied Scene Understanding for Vision Language Models via MetaVQA","created":"2025-01-15","cited_by_count":19,"area":"mllm"},{"id":"2601.05611","title":"FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving","created":"2026-01-09","cited_by_count":10,"area":"mllm"},{"id":"2604.01259","title":"Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models","created":"2026-04-01","cited_by_count":10,"area":"mllm"},{"id":"2511.19221","title":"Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving","created":"2025-11-24","cited_by_count":9,"area":"mllm"},{"id":"2507.05227","title":"NavigScene: Bridging Local Perception and Global Navigation for Beyond-Visual-Range Autonomous Driving","created":"2025-07-07","cited_by_count":7,"area":"mllm"},{"id":"2507.20342","title":"VLMPlanner: Integrating Visual Language Models with Motion Planning","created":"2025-07-27","cited_by_count":6,"area":"mllm"},{"id":"2405.20991","title":"Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models","created":"2024-05-31","cited_by_count":4,"area":"mllm"},{"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":"2510.13108","title":"DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models","created":"2025-10-15","cited_by_count":3,"area":"mllm"},{"id":"2604.17915","title":"OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models","created":"2026-04-20","cited_by_count":3,"area":"mllm"},{"id":"2507.02948","title":"DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction","created":"2025-06-28","cited_by_count":2,"area":"mllm"},{"id":"2601.19582","title":"ScenePilot-4K: A Large-Scale First-Person Dataset and Benchmark for Vision-Language Models in Autonomous Driving","created":"2026-01-27","cited_by_count":1,"area":"mllm"},{"id":"2605.25393","title":"Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving","created":"2026-05-25","cited_by_count":1,"area":"mllm"},{"id":"2509.02659","title":"2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model","created":"2025-09-02","cited_by_count":0,"area":"mllm"},{"id":"2606.01624","title":"What to Test Next: Interpretable Coverage Gap Discovery in Driving VLMs","created":"2026-06-01","cited_by_count":0,"area":"mllm"},{"id":"2609.15322","title":"Planning in the Backbone: DiffAdapterVLA for Native Continuous Trajectory Generation with Driving VLMs","created":"2026-09-14","cited_by_count":0,"area":"mllm"}],"next_cursor":null}