Author

Xiangyu Zhao

3 papers indexed here

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Preprint Sep 2026

EvoSkillRec: Skill-Genome Evolution for Recommender Architecture Discovery

Modern recommender systems advance not only by scaling data and parameters, but also by encoding task-specific inductive biases through architecture, including sparse feature interactions for click-through rate (CTR) prediction, temporal attention for sequential recommendation, and expert routing for multi-task learnin...

Xiao-Peng Li, Kuo Cai, Bo Chen et al. · 0 citations

Preprint Sep 2026

Inherit4Rec: Parameter Inheritance for Efficient Scaling of Recommendation Models

Scaling model capacity has emerged as an effective approach to overcoming performance bottlenecks in industrial recommender systems. However, repeatedly training larger dense models from scratch demands substantial data and time, while their growing computation conflicts with the strict serving budgets of industrial sy...

Rui-Hao Zhang, Bo Chen, Xiao Wang et al. · 0 citations

#natural language process... Preprint Nov 2025

Learning a Single Token to Replace Long System Prompts in LLMs

A lightweight training framework that learns a single Behavior-Equivalent Token that substantially reduces inference cost and frees nearly the entire context window for user inputs and model outputs.

Jiancheng Dong, Pengyue Jia, Jingyu Peng et al. · 2 citations