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Xinrui Lin

2 accepted papers

2026

EcoVLA: Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models

ICML 2026spotlight

While Vision-Language-Action (VLA) models hold promise in embodied intelligence, their large parameter counts lead to substantial inference latency that hinders real-time manipulation, motivating parameter sparsification. However, as the environment evolves during VLA execution, the optimal sparsity…

Cited by 0SourceScholar
2025

Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning

IJCAI 2025

Answer Set Programming (ASP) planning can be used to refine the rough solutions generated by Large Language Models (LLMs) to handle specific restrictions of actions, i.e., reconstruct the rough solutions to be executable, for robotic task planning. However, it is still challenging to efficiently sol