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Error-Driven Scene Editing for 3D Grounding in Large Language Models

This work introduces DEER-3D, an error-driven framework that diagnoses grounding failures and generates targeted counterfactual training supervision via a structured "Decompose, Diagnose, Edit, and Retrain"loop, and underscores the effectiveness of targeted, error-driven scene editing in bridging linguistic reasoning w...

Yue Zhang, Zun Wang, Han Lin et al. · 0 citations

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