{"total":23,"rows":[{"id":"2510.24795","title":"A Survey on Efficient Vision-Language-Action Models","created":"2025-10-27","cited_by_count":34,"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":"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":"2602.10503","title":"Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning","created":"2026-02-11","cited_by_count":13,"area":"vla"},{"id":"2603.26666","title":"VLA-OPD: Bridging Offline SFT and Online RL for Vision-Language-Action Models via On-Policy Distillation","created":"2026-03-27","cited_by_count":13,"area":"vla"},{"id":"2511.16166","title":"EvoVLA: Self-Evolving Vision-Language-Action Model","created":"2025-11-20","cited_by_count":11,"area":"vla"},{"id":"2602.05765","title":"RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training","created":"2026-02-05","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":"2602.21633","title":"Self-Correcting VLA: Online Action Refinement via Sparse World Imagination","created":"2026-02-25","cited_by_count":4,"area":"vla"},{"id":"2605.11832","title":"Learning Action Manifold with Multi-view Latent Priors for Robotic Manipulation","created":"2026-05-12","cited_by_count":3,"area":"vla"},{"id":"2603.09542","title":"NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models","created":"2026-03-10","cited_by_count":2,"area":"vla"},{"id":"2606.17924","title":"PearlVLA: Progressive Embodied Action-Plan Refinement in Latent Space","created":"2026-06-16","cited_by_count":2,"area":"vla"},{"id":"2607.12931","title":"ExToken: Structured Exploration for Efficient Vision-Language-Action Reinforcement Fine-tuning","created":"2026-07-14","cited_by_count":2,"area":"vla"},{"id":"2608.15285","title":"PhaseLoRA: Control-Regime-Conditioned Low-Rank Adaptation for Continuous-Action Vision-Language-Action Policies","created":"2026-08-15","cited_by_count":1,"area":"vla"},{"id":"2608.21740","title":"CounterAlign: Counterfactual Supervision for Vision-Language-Action Models","created":"2026-08-22","cited_by_count":1,"area":"vla"},{"id":"2606.17011","title":"ROVE: Unlocking Human Interventions for Humanoid Manipulation via Reinforcement Learning","created":"2026-06-15","cited_by_count":0,"area":"vla"},{"id":"2607.16074","title":"JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models","created":"2026-07-17","cited_by_count":0,"area":"vla"},{"id":"2607.26513","title":"Explicit Kinematic Guidance from Analytic Concepts for Vision-Language-Action Models","created":"2026-07-29","cited_by_count":0,"area":"vla"},{"id":"2608.07314","title":"TEMPO: Semantic-Action Decoupled RL Post-Training for Vision-Language-Action Models","created":"2026-08-07","cited_by_count":0,"area":"vla"},{"id":"2609.21650","title":"SynthDemo-RL: Breaking the Zero-Reward Barrier in VLA Adaptation with LLM-Guided Synthetic Demonstrations","created":"2026-09-18","cited_by_count":0,"area":"vla"},{"id":"2609.38855","title":"Online Evolution Strategy for Flow-Matching VLA Policies via Self-Supervised Trajectory Distribution Optimization","created":"2026-09-30","cited_by_count":0,"area":"vla"},{"id":"2610.00317","title":"DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies","created":"2026-09-29","cited_by_count":0,"area":"vla"},{"id":"2610.12914","title":"OGPO: Offline Goal-conditioned Policy Optimization for Recoverable Vision-Language-Action Models","created":"2026-10-09","cited_by_count":0,"area":"vla"}],"next_cursor":null}