Author

Mohit Bansal

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Jul 2026

JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw Puzzles

A benchmark with tab-and-blank interlocking pieces where geometric constraints provide strong local compatibility requirements that, combined with visual content, yield unambiguous ground truth is introduced, establishing scalable geometric reasoning as an open challenge for vision-language models.

Shawn Li, Wei Yang, Jike Zhong et al. · arXiv.org · 1 citation

#artificial intelligence Nov 2025

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 with spatial grounding in 3D LLMs.

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