Author

Longshaokan Wang

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Preprint Aug 2026

Auditing Semantic Gains in Sequential Recommendation: A Lightweight Recovery Test

The results suggest that lightweight recovery from offline item representations and transparent fusion should be ruled out before improvements are attributed to serving-time language modeling, semantic-ID generation, or heavier semantic machinery.

Kong Wang, Zhongke He, Xiang Chen et al. · 0 citations

#data science Preprint Jul 2026

Efficient Clustering with Provable Guardrails for LLM Inference at Scale

This work proposes a two-stage algorithm that generates initial clusters with Mini-batch K-Means, then greedily selects representatives within each initial cluster -- a step equivalent to the Johnson-Chvatal heuristic for Set Cover over alpha-balls in embedding space.

Longshaokan Wang, Wai Tsang Keung, Punit Ghodasara et al. · 0 citations