{"total":232,"rows":[{"id":"2311.16922","title":"Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding","created":"2023-11-28","cited_by_count":688,"area":"mllm"},{"id":"2312.14150","title":"DriveLM: Driving with Graph Visual Question Answering","created":"2023-12-21","cited_by_count":536,"area":"mllm"},{"id":"2312.07488","title":"LMDrive: Closed-Loop End-to-End Driving with Large Language Models","created":"2023-12-12","cited_by_count":305,"area":"driving"},{"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":"2402.13243","title":"VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning","created":"2024-02-20","cited_by_count":289,"area":"driving"},{"id":"2312.09245","title":"DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving","created":"2023-12-14","cited_by_count":233,"area":"mllm"},{"id":"2410.23262","title":"EMMA: End-to-End Multimodal Model for Autonomous Driving","created":"2024-10-30","cited_by_count":231,"area":"driving"},{"id":"2311.18651","title":"LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning","created":"2023-11-30","cited_by_count":210,"area":"lr"},{"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":"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":"2503.09594","title":"SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment","created":"2025-03-12","cited_by_count":150,"area":"driving"},{"id":"2406.04244","title":"Benchmark Data Contamination of Large Language Models: A Survey","created":"2024-06-06","cited_by_count":147,"area":null},{"id":"2312.14115","title":"LingoQA: Visual Question Answering for Autonomous Driving","created":"2023-12-21","cited_by_count":145,"area":"mllm"},{"id":"2504.04348","title":"OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning","created":"2025-04-06","cited_by_count":143,"area":"wm"},{"id":"2311.01043","title":"LLM4Drive: A Survey of Large Language Models for Autonomous Driving","created":"2023-11-02","cited_by_count":136,"area":"driving"},{"id":"2502.21321","title":"LLM Post-Training: A Deep Dive into Reasoning Large Language Models","created":"2025-02-28","cited_by_count":135,"area":"lr"},{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"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":"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":"2506.07398","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","created":"2025-06-09","cited_by_count":122,"area":"agents"},{"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":"2501.13987","title":"OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting","created":"2025-01-23","cited_by_count":97,"area":null},{"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":"2402.10828","title":"RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model","created":"2024-02-16","cited_by_count":92,"area":"mllm"},{"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":"2311.05332","title":"On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving","created":"2023-11-09","cited_by_count":80,"area":"mllm"},{"id":"2407.07035","title":"Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models","created":"2024-07-09","cited_by_count":79,"area":null},{"id":"2408.10845","title":"CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving","created":"2024-08-19","cited_by_count":77,"area":"driving"},{"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":"2505.23757","title":"Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models","created":"2025-05-29","cited_by_count":60,"area":"vla"},{"id":"2406.10165","title":"CarLLaVA: Vision language models for camera-only closed-loop driving","created":"2024-06-14","cited_by_count":57,"area":"mllm"},{"id":"2407.00959","title":"Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving","created":"2024-07-01","cited_by_count":56,"area":"wm"},{"id":"2402.01105","title":"A Survey for Foundation Models in Autonomous Driving","created":"2024-02-02","cited_by_count":52,"area":"driving"},{"id":"2403.19838","title":"Multi-Frame, Lightweight & Efficient Vision-Language Models for Question Answering in Autonomous Driving","created":"2024-03-28","cited_by_count":52,"area":"mllm"},{"id":"2412.09627","title":"Doe-1: Closed-Loop Autonomous Driving with Large World Model","created":"2024-12-12","cited_by_count":51,"area":"wm"},{"id":"2312.09397","title":"Personalized Autonomous Driving with Large Language Models: Field Experiments","created":"2023-12-14","cited_by_count":48,"area":"driving"},{"id":"2501.09757","title":"Distilling Multi-modal Large Language Models for Autonomous Driving","created":"2025-01-16","cited_by_count":46,"area":"mllm"},{"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":"2405.10255","title":"When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models","created":"2024-05-16","cited_by_count":43,"area":"mllm"},{"id":"2404.06345","title":"AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning","created":"2024-04-09","cited_by_count":40,"area":"driving"},{"id":"2503.13107","title":"ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models","created":"2025-03-17","cited_by_count":40,"area":"mllm"},{"id":"2404.07569","title":"Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?","created":"2024-04-11","cited_by_count":38,"area":null},{"id":"2406.14556","title":"Asynchronous Large Language Model Enhanced Planner for Autonomous Driving","created":"2024-06-20","cited_by_count":38,"area":"driving"},{"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":"2411.18275","title":"Visual Adversarial Attack on Vision-Language Models for Autonomous Driving","created":"2024-11-27","cited_by_count":36,"area":"lr"},{"id":"2503.10621","title":"DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding","created":"2025-03-13","cited_by_count":36,"area":"mllm"},{"id":"2403.18344","title":"LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models","created":"2024-03-27","cited_by_count":35,"area":null},{"id":"2502.15672","title":"VaViM and VaVAM: Autonomous Driving through Video Generative Modeling","created":"2025-02-21","cited_by_count":35,"area":"wm"},{"id":"2402.01246","title":"LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving","created":"2024-02-02","cited_by_count":33,"area":"lr"},{"id":"2510.19654","title":"From Forecasting to Planning: Policy World Model for Collaborative State-Action Prediction","created":"2025-10-22","cited_by_count":33,"area":"wm"},{"id":"2312.06352","title":"NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations","created":"2023-12-11","cited_by_count":31,"area":"driving"},{"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":"2507.12455","title":"Mitigating Object Hallucinations via Sentence-Level Early Intervention","created":"2025-07-16","cited_by_count":28,"area":"mllm"},{"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":"2406.03008","title":"DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences","created":"2024-06-05","cited_by_count":27,"area":"driving"},{"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":"2503.21411","title":"Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap","created":"2025-03-27","cited_by_count":26,"area":null},{"id":"2402.07320","title":"Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets","created":"2024-02-11","cited_by_count":25,"area":null},{"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":"2503.08342","title":"Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs","created":"2025-03-11","cited_by_count":23,"area":"mllm"},{"id":"2408.04821","title":"VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving","created":"2024-08-09","cited_by_count":22,"area":"driving"},{"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":"2405.05956","title":"Probing Multimodal LLMs as World Models for Driving","created":"2024-05-09","cited_by_count":20,"area":"wm"},{"id":"2502.18042","title":"VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention Fusion","created":"2025-02-25","cited_by_count":20,"area":"driving"},{"id":"2501.09167","title":"Embodied Scene Understanding for Vision Language Models via MetaVQA","created":"2025-01-15","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":"2403.16527","title":"Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art","created":"2024-03-25","cited_by_count":17,"area":null},{"id":"2409.08811","title":"Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task","created":"2024-09-13","cited_by_count":17,"area":"agents"},{"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":"2506.03079","title":"ORV: 4D Occupancy-centric Robot Video Generation","created":"2025-06-03","cited_by_count":17,"area":"wm"},{"id":"2506.05667","title":"DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models","created":"2025-06-06","cited_by_count":17,"area":"vla"},{"id":"2405.13053","title":"MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models","created":"2024-05-19","cited_by_count":16,"area":"moe"},{"id":"2407.21293","title":"SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving","created":"2024-07-31","cited_by_count":16,"area":"mllm"},{"id":"2505.15925","title":"VERDI: VLM-Embedded Reasoning for Autonomous Driving","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2403.11368","title":"Driving Style Alignment for LLM-powered Driver Agent","created":"2024-03-17","cited_by_count":15,"area":"agents"},{"id":"2405.04135","title":"Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models","created":"2024-05-07","cited_by_count":15,"area":"driving"},{"id":"2406.03474","title":"AD-H: Language-guided Autonomous Driving with Hierarchical Agents","created":"2024-06-05","cited_by_count":15,"area":"driving"},{"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":"2311.12144","title":"Applications of Large Scale Foundation Models for Autonomous Driving","created":"2023-11-20","cited_by_count":14,"area":"driving"},{"id":"2407.19280","title":"Large Language Models for Human-like Autonomous Driving: A Survey","created":"2024-07-27","cited_by_count":14,"area":"driving"},{"id":"2409.09575","title":"Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model","created":"2024-09-15","cited_by_count":14,"area":"driving"},{"id":"2506.03408","title":"Trajectory Prediction Meets Large Language Models: A Survey","created":"2025-06-03","cited_by_count":14,"area":null},{"id":"2409.07267","title":"MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving","created":"2024-09-11","cited_by_count":13,"area":"mllm"},{"id":"2403.20116","title":"LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving","created":"2024-03-29","cited_by_count":12,"area":"mllm"},{"id":"2401.03629","title":"DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement","created":"2024-01-08","cited_by_count":11,"area":"diffusion"},{"id":"2406.07296","title":"Instruct Large Language Models to Drive like Humans","created":"2024-06-11","cited_by_count":11,"area":null},{"id":"2410.23780","title":"Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map","created":"2024-10-31","cited_by_count":11,"area":"driving"},{"id":"2501.11739","title":"Episodic memory in AI agents poses risks that should be studied and mitigated","created":"2025-01-20","cited_by_count":11,"area":null},{"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":"2602.08440","title":"SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios","created":"2026-02-09","cited_by_count":11,"area":"vla"},{"id":"2311.18307","title":"Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent","created":"2023-11-30","cited_by_count":10,"area":null},{"id":"2410.15281","title":"LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends","created":"2024-10-20","cited_by_count":10,"area":"driving"},{"id":"2411.16554","title":"Generating Out-Of-Distribution Scenarios Using Language Models","created":"2024-11-25","cited_by_count":10,"area":null},{"id":"2508.21824","title":"DriveQA: Passing the Driving Knowledge Test","created":"2025-08-29","cited_by_count":10,"area":"driving"},{"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":"2504.10020","title":"The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?","created":"2025-04-14","cited_by_count":9,"area":"mllm"}],"next_cursor":"100"}