Author

Jinxin Hu

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Preprint Aug 2026

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

Modern AI systems advance through continuous iteration: a loop of proposing evolution directions, implementing code, training, and evaluation. While the latter three stages are increasingly automated, the starting point --- proposing effective evolution directions --- remains a critical bottleneck that still relies hea...

Jin-Xin Hu, Hao Deng, Hai-Bo Xing et al. · 1 citation

#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

Preprint Jul 2026

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis

SAYRE is presented, a scene-aware document synthesis framework for generating scalable KIE training data without hand-crafted template design, and error analysis shows that synthesized training reduces field-level errors by improving schema-aware extraction over dense tables, business identifiers, and contract clauses.

Zhipeng Xu, Zulong Chen, Qing Liu et al. · 0 citations