A neuro-symbolic 2.5-D decomposition lets LLMs plan in 2D while deterministic rules compute vertical placements, raising structural accuracy to 94.6% on the Build What I Mean benchmark.
Marr,Vision: A computational investigation into the human repre- sentation and processing of visual information
2 Pith papers cite this work. Polarity classification is still indexing.
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Gray anchoring theory from biology unifies existing gray-pixel detection methods for color constancy and supports a new learning-based implementation that improves illuminant estimation.
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2.5-D Decomposition for LLM-Based Spatial Construction
A neuro-symbolic 2.5-D decomposition lets LLMs plan in 2D while deterministic rules compute vertical placements, raising structural accuracy to 94.6% on the Build What I Mean benchmark.
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Bio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
Gray anchoring theory from biology unifies existing gray-pixel detection methods for color constancy and supports a new learning-based implementation that improves illuminant estimation.