Author

Tian Yun

Brown University

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#artificial intelligence Preprint Oct 2026

Edit, Don't Imitate: Minimal-Edit On-Policy Distillation for Multimodal Reasoning

This work proposes minimal-edit corrective on-policy distillation, a method that preserves on-policy supervision while avoiding full-response imitation, and improves perception-oriented performance, particularly low-level geometric perception, and transfers to external mathematics and perception benchmarks.

Wen Ye, Ai-Lin Deng, Zi-Rui Wang et al. · 0 citations

Multimodal Concept Mapping

This work investigates how MLLMs learn novel concepts by introducing concepts in unimodal pre-training or multimodal fine-tuning, and evaluates the model’s ability to generalize between the two settings, and evaluates how deeply a model maps concepts across modalities.

S. Boppana, Tian Yun, C. Curto et al. · 0 citations