Author

Yang Zhang

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Jul 2026

Learning from the Future: Privileged Self-Distillation for Sequential Recommendation

Privileged Self-Distillation (PSD) is proposed, a framework that separates learning-time information from inference-time information and uses an advantage-reachability gate to focus distillation on teacher signals likely supported by the observed prefix, along with a momentum-averaged teacher for stable targets.

Jiakai Tang, Yang Zhang, See-Kiong Ng et al. · arXiv.org · 1 citation

Preprint Aug 2026

Towards Faithful Simulation of Human Shopping Behavior

RecVerse is presented, a GUI-grounded simulation agent that perceives pages through screenshots and produces faithful multi-turn trajectories and significantly outperforms existing baselines in both behavioral fidelity and intent consistency.

Jia-Kai Tang, Yan Mi, Jing Yu et al. · 0 citations

Preprint Aug 2026

Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics

This work proposes a self-evolving curriculum that, each round, evaluates the current checkpoint, seeds QbQ from the problems it can mostly get right, and trains on the resulting variants; under an identical data budget, this breaks the ceiling and lifts pass@1 to 16.5\% with no sign of saturation after 20 rounds.

Longtian Bao, Jianyou Wang, Yang Zhang et al. · 0 citations