{"total":15,"rows":[{"id":"2510.13626","title":"LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models","created":"2025-10-15","cited_by_count":303,"area":"vla"},{"id":"2510.03827","title":"LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization","created":"2025-10-04","cited_by_count":179,"area":"vla"},{"id":"2512.22539","title":"VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models","created":"2025-12-27","cited_by_count":31,"area":"vla"},{"id":"2602.06556","title":"LIBERO-X: Robustness Litmus for Vision-Language-Action Models","created":"2026-02-06","cited_by_count":22,"area":"vla"},{"id":"2602.12281","title":"Scaling Verification Can Be More Effective than Scaling Policy Learning for Vision-Language-Action Alignment","created":"2026-02-12","cited_by_count":21,"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":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2512.20014","title":"Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting","created":"2025-12-23","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":"2608.11671","title":"StellaVLA: In-Context Structured Demonstration for Generalizable Vision-Language-Action Models","created":"2026-08-12","cited_by_count":4,"area":"vla"},{"id":"2603.19131","title":"From Inference Efficiency to Embodied Efficiency: Revisiting Efficiency Metrics for Vision-Language-Action Models","created":"2026-03-19","cited_by_count":2,"area":"vla"},{"id":"2605.02757","title":"Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation","created":"2026-05-04","cited_by_count":2,"area":"vla"},{"id":"2606.24815","title":"MANGO: Automated Multi-Agent Test Oracle Generation for Vision-Language-Action Models","created":"2026-06-23","cited_by_count":1,"area":"vla"},{"id":"2603.20659","title":"StageCraft: Execution Aware Mitigation of Distractor and Obstruction Failures in VLA Models","created":"2026-03-21","cited_by_count":0,"area":"vla"},{"id":"2608.25585","title":"RA-VLA: Retrieval-Augmented VLA for Test-Time Adaptation","created":"2026-08-26","cited_by_count":0,"area":"vla"}],"next_cursor":null}