{"total":61,"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":"2507.16815","title":"ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning","created":"2025-07-22","cited_by_count":156,"area":"lr"},{"id":"2410.14157","title":"Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning","created":"2024-10-18","cited_by_count":135,"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":"2503.07511","title":"PointVLA: Injecting the 3D World into Vision-Language-Action Models","created":"2025-03-10","cited_by_count":105,"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":"2501.10074","title":"SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning","created":"2025-01-17","cited_by_count":62,"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":"2502.01828","title":"From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment","created":"2025-02-03","cited_by_count":52,"area":"lr"},{"id":"2505.21906","title":"ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge","created":"2025-05-28","cited_by_count":49,"area":"lr"},{"id":"2505.23614","title":"Inference-time Scaling of Diffusion Models through Classical Search","created":"2025-05-29","cited_by_count":49,"area":"lr"},{"id":"2412.11974","title":"Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning","created":"2024-12-16","cited_by_count":47,"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":"2507.02092","title":"Energy-Based Transformers are Scalable Learners and Thinkers","created":"2025-07-02","cited_by_count":31,"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":"2509.25681","title":"dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought","created":"2025-09-30","cited_by_count":30,"area":"lr"},{"id":"2406.19741","title":"ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning","created":"2024-06-28","cited_by_count":27,"area":"lr"},{"id":"2507.13019","title":"Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities","created":"2025-07-17","cited_by_count":25,"area":"lr"},{"id":"2406.11548","title":"AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation","created":"2024-06-17","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":"2510.10975","title":"RoVer: Robot Reward Model as Test-Time Verifier for Vision-Language-Action Model","created":"2025-10-13","cited_by_count":19,"area":"lr"},{"id":"2304.00776","title":"Chain-of-Thought Predictive Control","created":"2023-04-03","cited_by_count":18,"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":"2510.21583","title":"Principled RL for Flow Matching Emerges from the Chunk-level Policy Optimization","created":"2025-10-24","cited_by_count":14,"area":"lr"},{"id":"2510.04019","title":"Simple Policy Gradients for Reasoning with Diffusion Language Models","created":"2025-10-05","cited_by_count":12,"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":"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":"2507.11001","title":"Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation","created":"2025-07-15","cited_by_count":6,"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":"2505.12744","title":"Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation","created":"2025-05-19","cited_by_count":5,"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":"2510.03896","title":"GAE: Unleashing Physical Potential of VLM with Generalizable Action Expert","created":"2025-10-04","cited_by_count":4,"area":"lr"},{"id":"2604.19730","title":"FASTER: Value-Guided Sampling for Fast RL","created":"2026-04-21","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":"2404.04929","title":"RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models","created":"2024-04-07","cited_by_count":3,"area":"lr"},{"id":"2510.05827","title":"VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp Generation","created":"2025-10-07","cited_by_count":2,"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":"2510.24161","title":"BLM$_1$: A Boundless Large Model for Cross-Space, Cross-Task, and Cross-Embodiment Learning","created":"2025-10-28","cited_by_count":2,"area":"lr"},{"id":"2605.10485","title":"VEGA: Visual Encoder Grounding Alignment for Spatially-Aware Vision-Language-Action Models","created":"2026-05-11","cited_by_count":2,"area":"lr"},{"id":"2606.00229","title":"Continuous Reasoning for Vision-Language-Action","created":"2026-05-29","cited_by_count":2,"area":"lr"},{"id":"2606.12334","title":"Fourier Features Let Agents Learn High Precision Policies with Imitation Learning","created":"2026-06-10","cited_by_count":2,"area":"lr"},{"id":"2608.23138","title":"Pointing-VLA: Typed Spatial Grounding Interfaces for Vision-Language-Action Manipulation","created":"2026-08-24","cited_by_count":2,"area":"lr"},{"id":"2505.10992","title":"ReaCritic: Reasoning Transformer-based DRL Critic-model Scaling For Wireless Networks","created":"2025-05-16","cited_by_count":1,"area":"lr"},{"id":"2511.20906","title":"DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant Policies","created":"2025-11-25","cited_by_count":1,"area":"lr"},{"id":"2602.08520","title":"Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning","created":"2026-02-09","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":"2607.06990","title":"A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation","created":"2026-07-08","cited_by_count":1,"area":"lr"},{"id":"2607.15621","title":"Think at 5 Hz, Act at 20 Hz: Asynchronous Fast-Slow Vision-Language-Action Inference for Closed-Loop Driving","created":"2026-07-17","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":"2508.16524","title":"Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning","created":"2025-08-22","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":"2607.17786","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":"2609.19878","title":"Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning","created":"2026-09-17","cited_by_count":0,"area":"lr"},{"id":"2609.35673","title":"FlowTool: Controlling Tool Parameter in Image Retouching via Flow Matching","created":"2026-09-28","cited_by_count":0,"area":"lr"},{"id":"2610.20331","title":"Are We Overthinking One-Step Generation?","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}