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Preprint Sep 2026

Revisit to Segment: Working Memory Distillation for Reasoning Segmentation

Multimodal large language models (MLLMs) have approached image segmentation by reasoning about visual content and predicting target locations. Their generated responses contain reasoning traces and localization proposals that can serve as working memory when revisiting the same image and query. Our exploration reveals...

Ci-Lin Yan, Yilun Qiu, Wan-Yang Zhang et al. · 0 citations
#natural language process... Preprint Sep 2026

Rubric-Aware On-Policy Self-Distillation for LLM Personalization

GRASP is a rubric-aware on-policy self-distillation framework for LLM personalization that turns user-specific rubric aspects into fine-grained, token-level supervision, and Rubric-based Teacher Validation (RTV) is introduced, which retains only instances where the teacher sufficiently covers the target aspects, improv...

Yilun Qiu, Xiao-Yan Zhao, Cheng-Bing Wang et al. · 0 citations

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