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ConCAD: Constraint-Aware Image-to-CAD Generation with Dual-Granularity Rewards

Chenxi Zhai, Xi Cheng, Hang Cheng وآخرون · 2026

Image-to-CAD generation seeks executable parametric programs that recover both the geometry and design intent of a reference object. Existing systems are commonly evaluated by validity and shape overlap, although two solids with similar volume can encode different CAD relations. We introduce ConCAD, a constraint-aware …

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Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding

Zhaoyuan Xia, Qinghongbing Xie, Yung Xiang Hue وآخرون · 2026

Long-context understanding requires large language models (LLMs) to reason over lengthy documents, conversations, and code, yet task-relevant evidence is often sparse and scattered amid substantial irrelevant and redundant content. We propose Highlight-Then-Summarize (H2S), a compress-then-reason paradigm that first id …

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