A listener-side symbolic layer using three pact-state sets and a web-image retrieval pipeline grounds referring expressions at 67.8% top-5 accuracy after leakage filtering, below human top-1.
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A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data
A listener-side symbolic layer using three pact-state sets and a web-image retrieval pipeline grounds referring expressions at 67.8% top-5 accuracy after leakage filtering, below human top-1.