Author

Kun Gai

2 papers indexed here

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Preprint Sep 2026

KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation

Generative recommendation, has been attracted a surge of attentions in industrial and academic research community, towards to build more smart system to build next-generation recommender. Under the significant developing wave of large language model, our team have been developed Semantic ID based OneRec/OneRec-V2. Thes...

Jiang-Xia Cao, Hao Peng, Wen-Long Xu et al. · 0 citations

#small language model Book Open access Sep 2026

PROMISE: Process Reward Models for Unlocking Test-Time Scaling Laws in Generative Recommendations

This work proposes Promise, a novel framework that integrates dense, step-by-step verification into generative models, and unlocks Test-Time Scaling Laws in recommender systems, demonstrating that by increasing inference compute, smaller models can match or surpass larger models.

Cheng-Cheng Guo, Kuo Cai, Yu Zhou et al. · Proceedings of the 20th ACM... · 0 citations