{"total":120,"rows":[{"id":"2412.04468","title":"NVILA: Efficient Frontier Visual Language Models","created":"2024-12-05","cited_by_count":209,"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":"2410.22313","title":"Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving","created":"2024-10-29","cited_by_count":156,"area":"mllm"},{"id":"2501.04003","title":"Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives","created":"2025-01-07","cited_by_count":122,"area":"mllm"},{"id":"2410.16261","title":"Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance","created":"2024-10-21","cited_by_count":94,"area":"mllm"},{"id":"2412.15208","title":"OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving","created":"2024-12-19","cited_by_count":93,"area":"mllm"},{"id":"2411.11919","title":"VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation","created":"2024-11-18","cited_by_count":73,"area":"mllm"},{"id":"2411.15296","title":"MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs","created":"2024-11-22","cited_by_count":72,"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":"2411.17491","title":"What's in the Image? A Deep-Dive into the Vision of Vision Language Models","created":"2024-11-26","cited_by_count":68,"area":"mllm"},{"id":"2502.14881","title":"A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations","created":"2025-02-14","cited_by_count":67,"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":"2412.15544","title":"VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving","created":"2024-12-20","cited_by_count":51,"area":"mllm"},{"id":"2408.09251","title":"V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models","created":"2024-08-17","cited_by_count":47,"area":"mllm"},{"id":"2501.09757","title":"Distilling Multi-modal Large Language Models for Autonomous Driving","created":"2025-01-16","cited_by_count":46,"area":"mllm"},{"id":"2601.05640","title":"SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving","created":"2026-01-09","cited_by_count":38,"area":"mllm"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2412.07689","title":"RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving","created":"2024-12-10","cited_by_count":30,"area":"mllm"},{"id":"2503.14607","title":"Can Large Vision Language Models Read Maps Like a Human?","created":"2025-03-18","cited_by_count":30,"area":"mllm"},{"id":"2502.13146","title":"Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization","created":"2025-02-18","cited_by_count":29,"area":"mllm"},{"id":"2502.09980","title":"V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models","created":"2025-02-14","cited_by_count":27,"area":"mllm"},{"id":"2509.20109","title":"Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving","created":"2025-09-24","cited_by_count":24,"area":"mllm"},{"id":"2409.02914","title":"Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving","created":"2024-09-04","cited_by_count":22,"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":"2503.21505","title":"Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving","created":"2025-03-27","cited_by_count":19,"area":"mllm"},{"id":"2504.09724","title":"A Survey on Efficient Vision-Language Models","created":"2025-04-13","cited_by_count":19,"area":"mllm"},{"id":"2505.24139","title":"S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation","created":"2025-05-30","cited_by_count":19,"area":"mllm"},{"id":"2503.13861","title":"RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving","created":"2025-03-18","cited_by_count":18,"area":"mllm"},{"id":"2505.03792","title":"Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning","created":"2025-05-01","cited_by_count":18,"area":"mllm"},{"id":"2506.06218","title":"STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving","created":"2025-06-06","cited_by_count":17,"area":"mllm"},{"id":"2501.08861","title":"Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving","created":"2025-01-15","cited_by_count":16,"area":"mllm"},{"id":"2411.11913","title":"On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation","created":"2024-11-17","cited_by_count":15,"area":"mllm"},{"id":"2507.21585","title":"SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation","created":"2025-07-29","cited_by_count":15,"area":"mllm"},{"id":"2512.12799","title":"DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning","created":"2025-12-14","cited_by_count":15,"area":"mllm"},{"id":"2502.18290","title":"Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models","created":"2025-02-25","cited_by_count":14,"area":"mllm"},{"id":"2508.19294","title":"Object Detection with Multimodal Large Vision-Language Models: An In-depth Review","created":"2025-08-25","cited_by_count":14,"area":"mllm"},{"id":"2405.19186","title":"MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification","created":"2024-05-29","cited_by_count":13,"area":"mllm"},{"id":"2410.00982","title":"ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding","created":"2024-10-01","cited_by_count":13,"area":"mllm"},{"id":"2412.20903","title":"WalkVLM:Aid Visually Impaired People Walking by Vision Language Model","created":"2024-12-30","cited_by_count":13,"area":"mllm"},{"id":"2412.00243","title":"Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model","created":"2024-11-29","cited_by_count":11,"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":"2505.14728","title":"MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models","created":"2025-05-20","cited_by_count":10,"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":"2411.12980","title":"LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement","created":"2024-11-20","cited_by_count":9,"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":"2512.02895","title":"MindGPT-4ov: An Enhanced MLLM via a Multi-Stage Post-Training Paradigm","created":"2025-12-02","cited_by_count":9,"area":"mllm"},{"id":"2603.14851","title":"AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving","created":"2026-03-16","cited_by_count":9,"area":"mllm"},{"id":"2412.19406","title":"MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios","created":"2024-12-27","cited_by_count":8,"area":"mllm"},{"id":"2508.02028","title":"Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving","created":"2025-08-04","cited_by_count":8,"area":"mllm"},{"id":"2512.01300","title":"RoboDriveVLM: A Novel Benchmark and Baseline towards Robust Vision-Language Models for Autonomous Driving","created":"2025-12-01","cited_by_count":8,"area":"mllm"},{"id":"2412.12722","title":"Defending LVLMs Against Vision Attacks through Partial-Perception Supervision","created":"2024-12-17","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":"2508.12603","title":"ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving","created":"2025-08-18","cited_by_count":7,"area":"mllm"},{"id":"2511.11266","title":"GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving","created":"2025-11-14","cited_by_count":7,"area":"mllm"},{"id":"2602.04094","title":"VideoBrain: Learning Adaptive Frame Sampling for Long Video Understanding","created":"2026-02-04","cited_by_count":7,"area":"mllm"},{"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":"2502.00843","title":"VLM-Assisted Continual learning for Visual Question Answering in Self-Driving","created":"2025-02-02","cited_by_count":6,"area":"mllm"},{"id":"2505.00284","title":"LightEMMA: A Longitudinal Evaluation of Vision-Language Models for Autonomous Driving","created":"2025-05-01","cited_by_count":6,"area":"mllm"},{"id":"2603.09482","title":"StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving","created":"2026-03-10","cited_by_count":6,"area":"mllm"},{"id":"2410.08616","title":"Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking","created":"2024-10-11","cited_by_count":5,"area":"mllm"},{"id":"2412.03002","title":"AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations?","created":"2024-12-04","cited_by_count":5,"area":"mllm"},{"id":"2502.00262","title":"INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation","created":"2025-02-01","cited_by_count":5,"area":"mllm"},{"id":"2503.11400","title":"A Framework for a Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving","created":"2025-03-14","cited_by_count":5,"area":"mllm"},{"id":"2509.00789","title":"CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving","created":"2025-08-31","cited_by_count":5,"area":"mllm"},{"id":"2510.02677","title":"ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks","created":"2025-10-03","cited_by_count":5,"area":"mllm"},{"id":"2602.00993","title":"HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving","created":"2026-02-01","cited_by_count":5,"area":"mllm"},{"id":"2603.11219","title":"Senna-2: Aligning VLM and End-to-End Driving Policy for Consistent Decision Making and Planning","created":"2026-03-11","cited_by_count":5,"area":"mllm"},{"id":"2409.02278","title":"Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems","created":"2024-09-03","cited_by_count":4,"area":"mllm"},{"id":"2503.06497","title":"Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving","created":"2025-03-09","cited_by_count":4,"area":"mllm"},{"id":"2506.07416","title":"LiteVLM: A Low-Latency Vision-Language Model Inference Pipeline for Resource-Constrained Environments","created":"2025-06-09","cited_by_count":4,"area":"mllm"},{"id":"2507.01284","title":"VLAD: A VLM-Augmented Autonomous Driving Framework with Hierarchical Planning and Interpretable Decision Process","created":"2025-07-02","cited_by_count":4,"area":"mllm"},{"id":"2601.17383","title":"Physical Prompt Injection Attacks on Large Vision-Language Models","created":"2026-01-24","cited_by_count":4,"area":"mllm"},{"id":"2408.00550","title":"Mitigating Multilingual Hallucination in Large Vision-Language Models","created":"2024-08-01","cited_by_count":3,"area":"mllm"},{"id":"2411.05898","title":"Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent","created":"2024-11-08","cited_by_count":3,"area":"mllm"},{"id":"2503.10872","title":"TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models","created":"2025-03-13","cited_by_count":3,"area":"mllm"},{"id":"2506.15645","title":"Demystifying the Visual Quality Paradox in Multimodal Large Language Models","created":"2025-06-18","cited_by_count":3,"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":"2512.13177","title":"MMDrive: Interactive Scene Understanding Beyond Vision with Multi-representational Fusion","created":"2025-12-15","cited_by_count":3,"area":"mllm"},{"id":"2603.06054","title":"Probing Visual Concepts in Lightweight Vision-Language Models for Automated Driving","created":"2026-03-06","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":"2501.05733","title":"TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos","created":"2025-01-10","cited_by_count":2,"area":"mllm"},{"id":"2501.06680","title":"Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving","created":"2025-01-12","cited_by_count":2,"area":"mllm"},{"id":"2503.15778","title":"AutoDrive-QA: A Multiple-Choice Benchmark for Vision-Language Evaluation in Urban Autonomous Driving","created":"2025-03-20","cited_by_count":2,"area":"mllm"},{"id":"2506.02615","title":"Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models","created":"2025-06-03","cited_by_count":2,"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":"2512.00713","title":"Concept-Guided Backdoor Attack on Vision Language Models","created":"2025-11-30","cited_by_count":2,"area":"mllm"},{"id":"2512.05277","title":"From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models","created":"2025-12-04","cited_by_count":2,"area":"mllm"},{"id":"2601.03713","title":"BREATH-VL: Vision-Language-Guided 6-DoF Bronchoscopy Localization via Semantic-Geometric Fusion","created":"2026-01-07","cited_by_count":2,"area":"mllm"},{"id":"2602.04256","title":"AppleVLM: End-to-end Autonomous Driving with Advanced Perception and Planning-Enhanced Vision-Language Models","created":"2026-02-04","cited_by_count":2,"area":"mllm"},{"id":"2504.12137","title":"Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -","created":"2025-04-16","cited_by_count":1,"area":"mllm"},{"id":"2507.00525","title":"Box-QAymo: Box-Referring VQA Dataset for Autonomous Driving","created":"2025-07-01","cited_by_count":1,"area":"mllm"},{"id":"2511.13881","title":"VLMs Guided Interpretable Decision Making for Autonomous Driving","created":"2025-11-17","cited_by_count":1,"area":"mllm"},{"id":"2601.08470","title":"Towards Safer Mobile Agents: Scalable Generation and Evaluation of Diverse Scenarios for VLMs","created":"2026-01-13","cited_by_count":1,"area":"mllm"},{"id":"2602.10719","title":"From Representational Complementarity to Dual Systems: Synergizing VLM and Vision-Only Backbones for End-to-End Driving","created":"2026-02-11","cited_by_count":1,"area":"mllm"},{"id":"2606.11568","title":"4DP-QA: Scalable QA for 4D Perception in Vision Language Models","created":"2026-06-10","cited_by_count":1,"area":"mllm"},{"id":"2508.05852","title":"Interpretable Modeling of Driver Attention Shifts with a Vision-Language Model","created":"2025-08-07","cited_by_count":0,"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":"2510.00060","title":"Less is More: Lean yet Powerful Vision-Language Model for Autonomous Driving","created":"2025-09-29","cited_by_count":0,"area":"mllm"}],"next_cursor":"100"}