Author

Yusheng Huang

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#artificial intelligence Review Sep 2026

Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems

Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next. We present AgentX-Model, the next generation of AgentX's model research framework, which connects proposal development and model experimentation within sandboxes defined by business inputs and...

Shuang Yang, Zi-Jie Zhuang, Chang-Xin Lao et al. · 0 citations

Jul 2026

Reward Guided Decoding for Generative Recommendation

Generative recommendation formulates recommendation task into an SID sequence autoregressive generation paradigm, but the decoding process is often dominated by generation likelihood. This may conflict with real-world business objectives, where high-value candidates can receive low generation probability and be pruned...

Ruo-Chen Yang, Yusheng Huang, Youfeng Zheng et al. · arXiv.org · 0 citations

Jul 2026

Unifying Generative Recall and Multi-Objective Ranking in a Single Decoder-Only Sequence

This work proposes UniR, a decoder-only Transformer that unifies Generative and Multi-Objective ranking within a single heterogeneous sequence comprising user context, SID trajectory, and item features, validating the practicality of unified model in large-scale recommendation systems.

Ruo-Chen Yang, Shuang Wen, Peng-Bo Xu et al. · arXiv.org · 1 citation