{"total":29,"rows":[{"id":"2510.24795","title":"A Survey on Efficient Vision-Language-Action Models","created":"2025-10-27","cited_by_count":34,"area":"vla"},{"id":"2511.18960","title":"AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention","created":"2025-11-24","cited_by_count":25,"area":"vla"},{"id":"2603.19199","title":"FASTER: Rethinking Real-Time Flow VLAs","created":"2026-03-19","cited_by_count":21,"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":"2603.07904","title":"DyQ-VLA: Temporal-Dynamic-Aware Quantization for Embodied Vision-Language-Action Models","created":"2026-03-09","cited_by_count":12,"area":"vla"},{"id":"2604.03956","title":"VLA-Forget: Vision-Language-Action Unlearning for Embodied Foundation Models","created":"2026-04-05","cited_by_count":10,"area":"vla"},{"id":"2607.27205","title":"TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM","created":"2026-07-29","cited_by_count":10,"area":"vla"},{"id":"2603.01581","title":"KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models","created":"2026-03-02","cited_by_count":9,"area":"vla"},{"id":"2601.20262","title":"Shallow-{\\pi}: Knowledge Distillation for Flow-based VLAs","created":"2026-01-28","cited_by_count":8,"area":"vla"},{"id":"2605.13778","title":"Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs","created":"2026-05-13","cited_by_count":8,"area":"vla"},{"id":"2511.18950","title":"Compressor-VLA: Instruction-Guided Visual Token Compression for Efficient Robotic Manipulation","created":"2025-11-24","cited_by_count":7,"area":"vla"},{"id":"2512.09927","title":"Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action Models","created":"2025-12-10","cited_by_count":7,"area":"vla"},{"id":"2603.28740","title":"FocusVLA: Focused Visual Utilization for Vision-Language-Action Models","created":"2026-03-30","cited_by_count":6,"area":"vla"},{"id":"2512.11362","title":"An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges","created":"2025-12-12","cited_by_count":4,"area":"vla"},{"id":"2603.07949","title":"RAPID: Redundancy-Aware and Compatibility-Optimal Edge-Cloud Partitioned Inference for Diverse VLA Models","created":"2026-03-09","cited_by_count":4,"area":"vla"},{"id":"2605.22283","title":"Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action","created":"2026-05-21","cited_by_count":4,"area":"vla"},{"id":"2606.08094","title":"vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models","created":"2026-06-06","cited_by_count":4,"area":"vla"},{"id":"2608.27384","title":"FlashVLA: Streaming Action Decoding for Fast and Asynchronous VLA Inference","created":"2026-08-27","cited_by_count":4,"area":"vla"},{"id":"2605.29662","title":"SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation","created":"2026-05-28","cited_by_count":3,"area":"vla"},{"id":"2606.27755","title":"Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?","created":"2026-06-26","cited_by_count":3,"area":"vla"},{"id":"2607.12659","title":"Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference","created":"2026-07-14","cited_by_count":3,"area":"vla"},{"id":"2606.22540","title":"PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models","created":"2026-06-21","cited_by_count":2,"area":"vla"},{"id":"2602.00780","title":"Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models","created":"2026-01-31","cited_by_count":1,"area":"vla"},{"id":"2603.10469","title":"DepthCache: Depth-Guided Training-Free Visual Token Merging for Vision-Language-Action Model Inference","created":"2026-03-11","cited_by_count":1,"area":"vla"},{"id":"2603.24941","title":"Beyond Attention Magnitude: Leveraging Inter-layer Rank Consistency for Efficient Vision-Language-Action Models","created":"2026-03-26","cited_by_count":1,"area":"vla"},{"id":"2606.20246","title":"Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think","created":"2026-06-18","cited_by_count":1,"area":"vla"},{"id":"2604.09244","title":"2D or 3D: Who Governs Salience in VLA Models? -- Tri-Stage Token Pruning Framework with Modality Salience Awareness","created":"2026-04-10","cited_by_count":0,"area":"vla"},{"id":"2609.19104","title":"rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference","created":"2026-09-16","cited_by_count":0,"area":"vla"},{"id":"2610.08917","title":"CARE: Certifying Acceleration for Vision-Language-Action Inference","created":"2026-10-06","cited_by_count":0,"area":"vla"}],"next_cursor":null}