{"total":20,"rows":[{"id":"2510.05681","title":"Verifier-free Test-Time Sampling for Vision-Language-Action Models","created":"2025-10-07","cited_by_count":23,"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":"2601.02295","title":"CycleVLA: Proactive Self-Correcting Vision-Language-Action Models via Subtask Backtracking and Minimum Bayes Risk Decoding","created":"2026-01-05","cited_by_count":14,"area":"vla"},{"id":"2601.06748","title":"On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning","created":"2026-01-11","cited_by_count":14,"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":"2508.15201","title":"Survey of Vision-Language-Action Models for Embodied Manipulation","created":"2025-08-21","cited_by_count":7,"area":"vla"},{"id":"2603.10052","title":"OmniGuide: Universal Guidance Fields for Enhancing Generalist Robot Policies","created":"2026-03-09","cited_by_count":6,"area":"vla"},{"id":"2602.06339","title":"Action Hallucination in Generative Vision-Language-Action Models","created":"2026-02-06","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":"2605.10094","title":"Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs","created":"2026-05-11","cited_by_count":5,"area":"vla"},{"id":"2606.13675","title":"Improving Robotic Generalist Policies via Flow Reversal Steering","created":"2026-06-11","cited_by_count":5,"area":"vla"},{"id":"2607.03751","title":"Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models","created":"2026-07-04","cited_by_count":4,"area":"vla"},{"id":"2606.08015","title":"Q-VGM: Q-Guided Value-Gradient Matching for Offline-to-Online RL of Flow-Matching VLA Policies","created":"2026-06-06","cited_by_count":3,"area":"vla"},{"id":"2606.18247","title":"Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement","created":"2026-06-16","cited_by_count":3,"area":"vla"},{"id":"2606.30613","title":"Sequential Planning via Anchored Robotic Keypoints","created":"2026-06-29","cited_by_count":2,"area":"vla"},{"id":"2605.11750","title":"DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies","created":"2026-05-12","cited_by_count":1,"area":"vla"},{"id":"2604.18107","title":"Test-Time Perturbation Learning with Delayed Feedback for Vision-Language-Action Models","created":"2026-04-20","cited_by_count":0,"area":"vla"},{"id":"2608.17484","title":"Reuse Before You Retrieve: Diagnosing Headroom and Complementarity for Test-Time Augmentation of Embodied Multimodal Policies","created":"2026-08-18","cited_by_count":0,"area":"vla"},{"id":"2609.31904","title":"GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation","created":"2026-09-25","cited_by_count":0,"area":"vla"},{"id":"2610.14588","title":"Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies","created":"2026-10-10","cited_by_count":0,"area":"vla"}],"next_cursor":null}