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Weimin Lyu

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#artificial intelligence Preprint Oct 2026

MoMaTune: Model, Match, Then Tune Language Models for Numerical Records

Despite remarkable progress in language understanding and generation, decoder language models continue to exhibit striking failures on numerical data. Numerical examples are typically serialized as text by concatenating feature names with their values (e.g., fat:3.4), while conventional task adaptation applies loss onl...

Weimin Lyu, Jing-Fen Zhang, Ling-Dao Sha et al. · 0 citations
Preprint Aug 2026

PACEShop: Evaluating Personalized, Actionable, Compositional, and Evidence-grounded Shopping Assistants

Shopping assistants are shifting from ranked product lists toward structured decision support, where systems must synthesize shopper context, product evidence, and next-step guidance into a coherent recommendation experience. This changes the unit of evaluation: a fluent response can still fail by ignoring shopper cont...

Weimin Lyu, Chen Luo, Guangrui Li et al. · 0 citations

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