Author

Zi-Chen Luo

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#artificial intelligence Preprint Sep 2026

AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair

The results show that the key to memory-augmented repair is not simply accumulating more experiences, but retrieving the right experiences for the right repair context, and that relevance, quality, and redundancy matter more than raw memory volume.

Zi-Chen Luo, Jia-Chen Guo, Wen-Jun He et al. · 0 citations

#artificial intelligence Preprint Aug 2026

From Feature Interaction to Feature Transport - A Unified Block for Scalable Recommendation Models

This work proposes CRAFT, a Contextual Residual Adaptive Feature Transport block, which summarizes non-sequential features into a reliability-aware contextual field and uses it to generate residual displacement and memory-preserving signals for intent and sequence representations.

Zi-Chen Luo, Jiaqi Guo, Ke-Ming Gu et al. · 0 citations