Author

Yu Zhang

2 papers indexed here

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Preprint Aug 2026

Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems

This work proposes Astar, a training-based approach that learns a specialized evolution-guiding model from the abundant iteration histories of industrial systems, and proposes a pipeline that turns noisy historical commits into a large, clean evolutionary corpus via pairwise sample expansion and noise filtering.

Jin-Xin Hu, Hao Deng, Hai-Bo Xing et al. · 2 citations

#artificial intelligence Preprint Sep 2026

Cross-Country Code-Mixing for Generative Recommendation

CMRec is proposed, a cross-country GR framework that injects cross-country supervision at the data level via dual-constrained, context-aware code-mixing that substantially improves recommendation quality in data-sparse countries while preserving performance in data-rich countries.

Yuan Gao, Hao Deng, Hai-Bo Xing et al. · 0 citations