{"total":67,"rows":[{"id":"2502.19645","title":"Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success","created":"2025-02-27","cited_by_count":883,"area":"lr"},{"id":"2503.22020","title":"CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models","created":"2025-03-27","cited_by_count":451,"area":"lr"},{"id":"2412.18194","title":"VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks","created":"2024-12-24","cited_by_count":175,"area":"lr"},{"id":"2503.15558","title":"Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning","created":"2025-03-18","cited_by_count":164,"area":"lr"},{"id":"2507.16815","title":"ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning","created":"2025-07-22","cited_by_count":156,"area":"lr"},{"id":"2504.19854","title":"NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks","created":"2025-04-28","cited_by_count":127,"area":"lr"},{"id":"2502.02175","title":"VLA-Cache: Efficient Vision-Language-Action Manipulation via Adaptive Token Caching","created":"2025-02-04","cited_by_count":86,"area":"lr"},{"id":"2507.17520","title":"InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation","created":"2025-07-23","cited_by_count":72,"area":"lr"},{"id":"2509.15965","title":"RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow Transformation","created":"2025-09-19","cited_by_count":57,"area":"lr"},{"id":"2505.21432","title":"Hume: Introducing System-2 Thinking in Visual-Language-Action Model","created":"2025-05-27","cited_by_count":56,"area":"lr"},{"id":"2505.08243","title":"Training Strategies for Efficient Embodied Reasoning","created":"2025-05-13","cited_by_count":55,"area":"lr"},{"id":"2502.13143","title":"SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation","created":"2025-02-18","cited_by_count":46,"area":"lr"},{"id":"2510.13375","title":"DepthVLA: Enhancing Vision-Language-Action Models with Depth-Aware Spatial Reasoning","created":"2025-10-15","cited_by_count":46,"area":"lr"},{"id":"2505.08548","title":"From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation","created":"2025-05-13","cited_by_count":35,"area":"lr"},{"id":"2508.21112","title":"EO-1: An Open Unified Embodied Foundation Model for General Robot Control","created":"2025-08-28","cited_by_count":31,"area":"lr"},{"id":"2601.05248","title":"LaST$_{0}$: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model","created":"2026-01-08","cited_by_count":31,"area":"lr"},{"id":"2510.16281","title":"Do What You Say: Steering Vision-Language-Action Models via Runtime Reasoning-Action Alignment Verification","created":"2025-10-18","cited_by_count":26,"area":"lr"},{"id":"2503.01378","title":"CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs","created":"2025-03-03","cited_by_count":22,"area":"lr"},{"id":"2602.01166","title":"Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models","created":"2026-02-01","cited_by_count":22,"area":"lr"},{"id":"2506.07639","title":"Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse","created":"2025-06-09","cited_by_count":21,"area":"lr"},{"id":"2512.02834","title":"Steering Vision-Language-Action Models as Anti-Exploration: A Test-Time Scaling Approach","created":"2025-12-02","cited_by_count":21,"area":"lr"},{"id":"2602.13193","title":"Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control","created":"2026-02-13","cited_by_count":20,"area":"lr"},{"id":"2603.22280","title":"DualCoT-VLA: Visual-Linguistic Chain of Thought via Parallel Reasoning for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":20,"area":"lr"},{"id":"2511.15669","title":"DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models","created":"2025-10-31","cited_by_count":18,"area":"lr"},{"id":"2602.07845","title":"Recurrent-Depth VLA: Implicit Test-Time Compute Scaling of Vision-Language-Action Models via Latent Iterative Reasoning","created":"2026-02-08","cited_by_count":18,"area":"lr"},{"id":"2511.22134","title":"DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action","created":"2025-11-27","cited_by_count":12,"area":"lr"},{"id":"2501.04268","title":"Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation","created":"2025-01-08","cited_by_count":11,"area":"lr"},{"id":"2512.09619","title":"GLaD: Geometric Latent Distillation for Vision-Language-Action Models","created":"2025-12-10","cited_by_count":11,"area":"lr"},{"id":"2606.30552","title":"Training Vision-Language-Action Models with Dense Embodied Chain-of-Thought Supervision","created":"2026-06-29","cited_by_count":8,"area":"lr"},{"id":"2603.19235","title":"Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding","created":"2026-03-19","cited_by_count":7,"area":"lr"},{"id":"2606.03784","title":"Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation","created":"2026-06-02","cited_by_count":7,"area":"lr"},{"id":"2603.14523","title":"VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning","created":"2026-03-15","cited_by_count":6,"area":"lr"},{"id":"2605.05126","title":"ConsisVLA-4D: Advancing Spatiotemporal Consistency in Efficient 3D-Perception and 4D-Reasoning for Robotic Manipulation","created":"2026-05-06","cited_by_count":6,"area":"lr"},{"id":"2606.11324","title":"Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models","created":"2026-06-09","cited_by_count":6,"area":"lr"},{"id":"2602.07399","title":"VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation","created":"2026-02-07","cited_by_count":5,"area":"lr"},{"id":"2603.23117","title":"TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches","created":"2026-03-24","cited_by_count":5,"area":"lr"},{"id":"2510.03896","title":"GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert","created":"2025-10-04","cited_by_count":4,"area":"lr"},{"id":"2602.04208","title":"SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2604.09781","title":"Text-Guided 6D Object Pose Rearrangement via Closed-Loop VLM Agents","created":"2026-04-10","cited_by_count":4,"area":"lr"},{"id":"2605.24203","title":"Afford-VLA: Action-Aligned Visual Planning via Internalized Affordance","created":"2026-05-22","cited_by_count":4,"area":"lr"},{"id":"2602.08167","title":"Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning","created":"2026-02-09","cited_by_count":3,"area":"lr"},{"id":"2603.18892","title":"MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model","created":"2026-03-19","cited_by_count":3,"area":"lr"},{"id":"2605.13382","title":"BlockVLA: Accelerating Autoregressive VLA via Block Diffusion Finetuning","created":"2026-05-13","cited_by_count":3,"area":"lr"},{"id":"2510.21744","title":"FORGE-Tree: Diffusion-Forcing Tree Search for Long-Horizon Robot Manipulation","created":"2025-10-07","cited_by_count":2,"area":"lr"},{"id":"2510.21746","title":"Avi: Action from Volumetric Inference","created":"2025-10-07","cited_by_count":2,"area":"lr"},{"id":"2608.13026","title":"Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning","created":"2026-08-13","cited_by_count":2,"area":"lr"},{"id":"2510.00154","title":"RoboPilot: Generalizable Dynamic Robotic Manipulation with Dual-thinking Modes","created":"2025-09-30","cited_by_count":1,"area":"lr"},{"id":"2605.08638","title":"Geometry Guided Self-Consistency for Physical AI","created":"2026-05-09","cited_by_count":1,"area":"lr"},{"id":"2606.04436","title":"3DThinkVLA: Endowing Vision-Language-Action Models with Latent 3D Priors via 3D-Thinking-Guided Co-training","created":"2026-06-03","cited_by_count":1,"area":"lr"},{"id":"2608.17129","title":"PROBE: Manipulation-Grounded Visual Question Answering with VLM Agents","created":"2026-08-17","cited_by_count":1,"area":"lr"},{"id":"2608.24959","title":"GaussVLA: Geometry-Aware Spatial Reasoning for Vision-Language-Action Model","created":"2026-08-25","cited_by_count":1,"area":"lr"},{"id":"2608.29208","title":"AdaVLA: Adaptive Step Flow Matching for Training-free Acceleration of Vision-Language-Action Models","created":"2026-08-29","cited_by_count":1,"area":"lr"},{"id":"2603.23964","title":"From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2605.16154","title":"Learn Where Outcomes Diverge: Efficient VLA RL via Probabilistic Chunk Masking","created":"2026-05-15","cited_by_count":0,"area":"lr"},{"id":"2605.25802","title":"Rethinking VLM Representation for VLA Initialization","created":"2026-05-25","cited_by_count":0,"area":"lr"},{"id":"2605.30660","title":"BOKBO (Best of K Bad Options): Calibrated Abstention for VLA Policies","created":"2026-05-28","cited_by_count":0,"area":"lr"},{"id":"2607.06018","title":"RoboTALES: Learning Reasoning-Guided Robot Policies via Task-Aligned Simulated Futures","created":"2026-07-07","cited_by_count":0,"area":"lr"},{"id":"2607.17786","title":"Reasoning as a Double-Edged Sword: Architecture and Cross-Stage Robustness in Vision-Language-Action Models","created":"2026-07-20","cited_by_count":0,"area":"lr"},{"id":"2607.25487","title":"CoTinyVLA: Chain-of-Thought Distillation for a Sub-Billion-Parameter Vision-Language-Action Model","created":"2026-07-28","cited_by_count":0,"area":"lr"},{"id":"2608.18574","title":"Beyond Forgetting: Diagnosing and Harnessing Shared Reasoning in Continual RLVR","created":"2026-08-19","cited_by_count":0,"area":"lr"},{"id":"2609.19878","title":"Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning","created":"2026-09-17","cited_by_count":0,"area":"lr"},{"id":"2610.00601","title":"When Reasoning Helps Action: Monitoring and Steering Chain-of-Thought in Vision-Language-Action Policies","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.04933","title":"DiVeR: Decision-Critical Verifier Learning for VLA Test-Time Scaling","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.05026","title":"GeoBridge-VLA: Geometry-Aware Residual Adaptation for Vision-Language-Action Models","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.15675","title":"Recovering Low-Bit Failures in Vision-Language-Action Policies via Quantization-Conditioned Reinforcement Learning","created":"2026-10-11","cited_by_count":0,"area":"lr"},{"id":"2610.20592","title":"GeoThinker-$F$: Endogenous Predictive World Representations for Fast Spatial Intelligence","created":"2026-10-14","cited_by_count":0,"area":"lr"},{"id":"2610.20598","title":"DynThinker: Unifying Static 3D and Dynamic 4D Spatial Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}