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
Unified On-Policy Self-Distillation (USD), a lightweight online algorithm to solve the Lagrangian, reveals that a single dual variable governs both decisions: at one price for learning difficulty, it simultaneously sets the token-selection threshold and the direction of privileged-information adjustment, keeping superv...
Yongkang Yang, Zhezheng Hao, Hong Zhang et al.· 2 citations
This survey examines agentic artifact creation, which is defined as stateful construction in which an AI system materially constructs or revises a deliverable and intermediate observations redirect later work, and formulate principles for keeping commitments and responsibility explicit, turning feedback into targeted r...
Tianfu Wang, Zhe-Zheng Hao, Xinchi Xia et al.· 0 citations
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