{"total":33,"rows":[{"id":"2405.14093","title":"A Survey on Vision-Language-Action Models for Embodied AI","created":"2024-05-23","cited_by_count":279,"area":"vla"},{"id":"2509.09674","title":"SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning","created":"2025-09-11","cited_by_count":151,"area":"vla"},{"id":"2505.19789","title":"What Can RL Bring to VLA Generalization? An Empirical Study","created":"2025-05-26","cited_by_count":108,"area":"vla"},{"id":"2505.16640","title":"BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization","created":"2025-05-22","cited_by_count":38,"area":"vla"},{"id":"2506.17561","title":"VLA-OS: Structuring and Dissecting Planning Representations and Paradigms in Vision-Language-Action Models","created":"2025-06-21","cited_by_count":36,"area":"vla"},{"id":"2510.06710","title":"RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action Models","created":"2025-10-08","cited_by_count":28,"area":"vla"},{"id":"2511.16449","title":"Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference","created":"2025-11-20","cited_by_count":17,"area":"vla"},{"id":"2510.25889","title":"$\\pi_\\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models","created":"2025-10-29","cited_by_count":16,"area":"vla"},{"id":"2512.07472","title":"Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation","created":"2025-12-08","cited_by_count":13,"area":"vla"},{"id":"2512.13100","title":"OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning","created":"2025-12-15","cited_by_count":10,"area":"vla"},{"id":"2505.13255","title":"Policy Contrastive Decoding for Robotic Foundation Models","created":"2025-05-19","cited_by_count":8,"area":"vla"},{"id":"2511.14178","title":"Towards Deploying VLA without Fine-Tuning: Plug-and-Play Inference-Time VLA Policy Steering via Embodied Evolutionary Diffusion","created":"2025-11-18","cited_by_count":8,"area":"vla"},{"id":"2510.04898","title":"HyperVLA: Efficient Inference in Vision-Language-Action Models via Hypernetworks","created":"2025-10-06","cited_by_count":7,"area":"vla"},{"id":"2511.11298","title":"Experiences from Benchmarking Vision-Language-Action Models for Robotic Manipulation","created":"2025-11-14","cited_by_count":5,"area":"vla"},{"id":"2604.16677","title":"ReconVLA: An Uncertainty-Guided and Failure-Aware Vision-Language-Action Framework for Robotic Control","created":"2026-04-17","cited_by_count":5,"area":"vla"},{"id":"2509.25718","title":"VLA Model Post-Training via Action-Chunked PPO and Self Behavior Cloning","created":"2025-09-30","cited_by_count":4,"area":"vla"},{"id":"2510.01389","title":"INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models","created":"2025-10-01","cited_by_count":3,"area":"vla"},{"id":"2603.12510","title":"Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies","created":"2026-03-12","cited_by_count":2,"area":"vla"},{"id":"2605.06175","title":"VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts","created":"2026-05-07","cited_by_count":2,"area":"vla"},{"id":"2605.09005","title":"Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models","created":"2026-05-09","cited_by_count":2,"area":"vla"},{"id":"2606.01458","title":"LEGS: Fine-Tuning Teleop-Free VLAs for Humanoid Loco-manipulation in an Embodied Gaussian Splatting World","created":"2026-05-31","cited_by_count":2,"area":"vla"},{"id":"2506.08296","title":"HiBerNAC: Hierarchical Brain-inspired Robotic Neural Agent Collective for Disentangling Complex Manipulation","created":"2025-06-09","cited_by_count":1,"area":"vla"},{"id":"2508.11960","title":"Human Centric General Physical Intelligence for Agile Manufacturing Automation","created":"2025-08-16","cited_by_count":1,"area":"vla"},{"id":"2604.13733","title":"Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents","created":"2026-04-15","cited_by_count":1,"area":"vla"},{"id":"2607.24148","title":"A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference","created":"2026-07-27","cited_by_count":1,"area":"vla"},{"id":"2608.18433","title":"The Embodiment Gap in Robot Foundation Models","created":"2026-08-19","cited_by_count":1,"area":"vla"},{"id":"2610.04805","title":"ExStereo: Lifting 2D Vision-Language-Action Models to 3D with Explicit Stereo Representations","created":"2026-10-03","cited_by_count":1,"area":"vla"},{"id":"2604.05323","title":"VLA-InfoEntropy: A Training-Free Vision-Attention Information Entropy Approach for Vision-Language-Action Models Inference Acceleration and Success","created":"2026-04-07","cited_by_count":0,"area":"vla"},{"id":"2606.25800","title":"ROAD-VLA: Robust Online Adaptation via Self-Distillation for Vision-Language-Action Models","created":"2026-06-24","cited_by_count":0,"area":"vla"},{"id":"2607.12571","title":"TrustVLA: Mechanism-Guided Inference-Time Defense Against Vision-Language-Action Backdoors","created":"2026-07-14","cited_by_count":0,"area":"vla"},{"id":"2608.15636","title":"Algorithm-Architecture Co-Design for Efficient VLA Inference via Speculative Inference and Verification","created":"2026-08-16","cited_by_count":0,"area":"vla"},{"id":"2608.29828","title":"SymVD: Symmetric Vision Language Action Distillation for Robot Manipulation","created":"2026-08-30","cited_by_count":0,"area":"vla"},{"id":"2609.22606","title":"VT-Bridge: Bridging Pretrained Foundation VLAs to VTLAs via Lightweight Residual Adaptation","created":"2026-09-18","cited_by_count":0,"area":"vla"}],"next_cursor":null}