A novel set identifier paradigm is introduced, representing each item as a set of order-agnostic tokens, which proves SETRec’s superior efficiency and scalability on cold-start items as model sizes increase, and SETRec++’s potential in the scalability of order-agnostic identifier.
Xin-Yu Lin, Chuan-Bo Zhang, Yu-Fan Liu et al.· ACM Transactions on Recommen...· 0 citations
This work proposes FineVerify, a fine-grained self-verification framework that decomposes each question into checkable sub-questions, verifies sampled candidates against each sub-question, and selects the candidate with the highest aggregated score.
J. Zhao, Hui Chen, Bryan Hooi et al.· arXiv.org· 2 citations
Extensive experiments show that WorldEvolver achieves the highest prediction accuracy across three backbones and leads other world model baselines on downstream agent success rate, demonstrating that test-time memory revision enhances both predictive fidelity and planning performance.
Xuan Zhang, Wen-Xuan Zhang, See-Kiong Ng et al.· arXiv.org· 3 citations
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
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
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