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Jian-Nan Li

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Preprint Sep 2026

RoboIRGBench: Benchmarking Implicit Referential Grounding in Vision-Language-Action Models

Vision-Language-Action (VLA) models have shown strong capabilities in robotic manipulation, yet existing benchmarks typically assume that task-relevant information is explicitly specified in the instruction. In practice, however, humans frequently refer to objects, quantities, and relations implicitly, requiring robots...

Aernaer Akelijiang, Jian-Nan Li, Zhi-Neng Chen et al. · 0 citations

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