{"total":93,"rows":[{"id":"2503.16419","title":"Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models","created":"2025-03-20","cited_by_count":464,"area":"lr"},{"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":"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":"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":"2503.23463","title":"OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model","created":"2025-03-30","cited_by_count":176,"area":"vla"},{"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":"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":"2509.13769","title":"AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving","created":"2025-09-17","cited_by_count":58,"area":"lr"},{"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":"2512.16760","title":"Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future","created":"2025-12-18","cited_by_count":33,"area":"vla"},{"id":"2503.24381","title":"UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving","created":"2025-03-31","cited_by_count":28,"area":null},{"id":"2504.13406","title":"LangCoop: Collaborative Driving with Language","created":"2025-04-18","cited_by_count":25,"area":"driving"},{"id":"2506.07564","title":"SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems","created":"2025-06-09","cited_by_count":25,"area":"agents"},{"id":"2512.13636","title":"MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning","created":"2025-12-15","cited_by_count":25,"area":"vla"},{"id":"2503.11892","title":"DecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning","created":"2025-03-14","cited_by_count":24,"area":null},{"id":"2603.01063","title":"Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures","created":"2026-03-01","cited_by_count":19,"area":"vla"},{"id":"2604.19710","title":"SpanVLA: Efficient Action Bridging and Learning from Negative-Recovery Samples for Vision-Language-Action Model","created":"2026-04-21","cited_by_count":17,"area":"lr"},{"id":"2503.06456","title":"DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning","created":"2025-03-09","cited_by_count":16,"area":null},{"id":"2505.15880","title":"Challenger: Affordable Adversarial Driving Video Generation","created":"2025-05-21","cited_by_count":16,"area":"driving"},{"id":"2505.15925","title":"VERDI: VLM-Embedded Reasoning for Autonomous Driving","created":"2025-05-21","cited_by_count":16,"area":"lr"},{"id":"2512.06112","title":"WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving","created":"2025-12-05","cited_by_count":16,"area":"diffusion"},{"id":"2507.12499","title":"ReAL-AD: Towards Human-Like Reasoning in End-to-End Autonomous Driving","created":"2025-07-16","cited_by_count":15,"area":"lr"},{"id":"2603.06049","title":"Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models","created":"2026-03-06","cited_by_count":15,"area":"driving"},{"id":"2512.04459","title":"dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning","created":"2025-12-04","cited_by_count":14,"area":"lr"},{"id":"2503.13504","title":"CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception","created":"2025-03-13","cited_by_count":13,"area":null},{"id":"2512.04441","title":"MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving","created":"2025-12-04","cited_by_count":12,"area":"wm"},{"id":"2604.02714","title":"ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving","created":"2026-04-03","cited_by_count":12,"area":"wm"},{"id":"2506.11234","title":"Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving","created":"2025-06-12","cited_by_count":11,"area":"driving"},{"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":"2603.11041","title":"DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving","created":"2026-03-11","cited_by_count":11,"area":"vla"},{"id":"2605.15120","title":"CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning","created":"2026-05-14","cited_by_count":11,"area":"driving"},{"id":"2606.15869","title":"Metis: A Generalizable and Efficient World-Action Model for Autonomous Driving and Urban Navigation","created":"2026-06-14","cited_by_count":11,"area":"wm"},{"id":"2508.21824","title":"DriveQA: Passing the Driving Knowledge Test","created":"2025-08-29","cited_by_count":10,"area":"driving"},{"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":"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":"2510.16500","title":"Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks","created":"2025-10-18","cited_by_count":8,"area":"driving"},{"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":"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":"2603.25741","title":"Vega: Learning to Drive with Natural Language Instructions","created":"2026-03-26","cited_by_count":6,"area":"wm"},{"id":"2507.01059","title":"Automated Vehicles Should be Connected with Natural Language","created":"2025-06-29","cited_by_count":5,"area":null},{"id":"2512.18211","title":"LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning","created":"2025-12-20","cited_by_count":5,"area":"lr"},{"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":"2602.04184","title":"Natural Language Instructions for Scene-Responsive Human-in-the-Loop Motion Planning in Autonomous Driving using Vision-Language-Action Models","created":"2026-02-04","cited_by_count":5,"area":"vla"},{"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":"2605.23163","title":"Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving","created":"2026-05-22","cited_by_count":5,"area":"vla"},{"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":"2510.02803","title":"Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving","created":"2025-10-03","cited_by_count":4,"area":"lr"},{"id":"2603.07901","title":"NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving","created":"2026-03-09","cited_by_count":4,"area":"lr"},{"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":"2506.21041","title":"SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling","created":"2025-06-26","cited_by_count":3,"area":"mllm"},{"id":"2508.16512","title":"Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation","created":"2025-08-22","cited_by_count":3,"area":"wm"},{"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":"2510.14968","title":"RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks","created":"2025-10-16","cited_by_count":3,"area":"mllm"},{"id":"2511.14391","title":"Enhancing LLM-based Autonomous Driving with Modular Traffic Light and Sign Recognition","created":"2025-11-18","cited_by_count":3,"area":"lr"},{"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":"2606.12396","title":"VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving","created":"2026-06-10","cited_by_count":3,"area":"vla"},{"id":"2505.03174","title":"Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets","created":"2025-05-06","cited_by_count":2,"area":"driving"},{"id":"2510.08789","title":"Q-Router: Agentic Video Quality Assessment with Expert Model Routing and Artifact Localization","created":"2025-10-09","cited_by_count":2,"area":"agents"},{"id":"2510.18123","title":"SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving","created":"2025-10-20","cited_by_count":2,"area":"driving"},{"id":"2512.04733","title":"E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving","created":"2025-12-04","cited_by_count":2,"area":"driving"},{"id":"2602.20577","title":"Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion","created":"2026-02-24","cited_by_count":2,"area":"mllm"},{"id":"2604.22260","title":"Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language Dataset","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2605.31116","title":"NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving","created":"2026-05-29","cited_by_count":2,"area":"driving"},{"id":"2607.02841","title":"CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving","created":"2026-07-03","cited_by_count":2,"area":"vla"},{"id":"2509.02966","title":"KEPT: Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models","created":"2025-09-03","cited_by_count":1,"area":"mllm"},{"id":"2510.21867","title":"Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs","created":"2025-10-23","cited_by_count":1,"area":"wm"},{"id":"2512.02906","title":"MRD: Multi-resolution Retrieval-Detection Fusion for High-Resolution Image Understanding","created":"2025-12-02","cited_by_count":1,"area":"mllm"},{"id":"2601.08205","title":"FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2602.07680","title":"Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning","created":"2026-02-07","cited_by_count":1,"area":"mllm"},{"id":"2602.21137","title":"UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2605.06088","title":"OpenGaFF: Open-Vocabulary Gaussian Feature Field with Codebook Attention","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2605.08133","title":"VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving","created":"2026-05-01","cited_by_count":1,"area":"vla"},{"id":"2605.10564","title":"DeepSight: Long-Horizon World Modeling via Latent States Prediction for End-to-End Autonomous Driving","created":"2026-05-11","cited_by_count":1,"area":"wm"},{"id":"2605.17284","title":"CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving","created":"2026-05-17","cited_by_count":1,"area":"vla"},{"id":"2605.21061","title":"Grounding Driving VLA via Inverse Kinematics","created":"2026-05-20","cited_by_count":1,"area":"driving"},{"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":"2607.00399","title":"DriveVer: Lightweight Trajectory Evaluator as Test-Time Verifier for Autonomous Driving","created":"2026-07-01","cited_by_count":1,"area":"driving"},{"id":"2607.01658","title":"Teaching Vision-Language-Action Models What to See and Where to Look","created":"2026-07-02","cited_by_count":1,"area":"vla"},{"id":"2607.08375","title":"WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving","created":"2026-07-09","cited_by_count":1,"area":"vla"},{"id":"2608.07621","title":"CMU-Drive and V2V-VLA: Cooperative Multi-agent Unified Driving with Reasoning Benchmark and Vehicle-to-Vehicle Vision-Language-Action Models","created":"2026-08-07","cited_by_count":1,"area":"vla"},{"id":"2609.25831","title":"Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving","created":"2026-09-22","cited_by_count":1,"area":"driving"},{"id":"2503.20756","title":"ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems","created":"2025-03-26","cited_by_count":0,"area":"mllm"},{"id":"2506.07850","title":"SAM2Auto: Auto Annotation Using FLASH","created":"2025-06-09","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"},{"id":"2512.06251","title":"NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2601.01804","title":"V-CORE: Temporally Consistent Video Understanding for Video-LLM","created":"2026-01-05","cited_by_count":0,"area":"lr"},{"id":"2603.07874","title":"Toward Unified Multimodal Representation Learning for Autonomous Driving","created":"2026-03-09","cited_by_count":0,"area":"driving"},{"id":"2604.07378","title":"Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles","created":"2026-04-08","cited_by_count":0,"area":"driving"},{"id":"2604.08266","title":"Orion-Lite: Distilling LLM Reasoning into Efficient Vision-Only Driving Models","created":"2026-04-09","cited_by_count":0,"area":"lr"},{"id":"2604.22560","title":"Cross-Stage Coherence in Hierarchical Driving VQA: Explicit Baselines and Learned Gated Context Projectors","created":"2026-04-24","cited_by_count":0,"area":"driving"},{"id":"2608.14024","title":"SSP: An Event-Matched Syn2Sim2Phy Cross-Domain Evaluation Framework for Autonomous Driving VLA Models","created":"2026-08-14","cited_by_count":0,"area":"driving"},{"id":"2609.31814","title":"DriveHierarchy: A Benchmark for Diagnosing VLM Driving Capabilities from Open-Loop Understanding to Closed-Loop Execution","created":"2026-09-25","cited_by_count":0,"area":"driving"},{"id":"2609.38028","title":"doPlan: A Variable-Horizon Dataset for Multi-Stage Language-Conditioned Planning in Autonomous Driving","created":"2026-09-29","cited_by_count":0,"area":"driving"}],"next_cursor":null}