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Bo-Wen Yang

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#artificial intelligence Preprint Oct 2026

Scalable, Transferable Meta-network for Data Selection Requires a Different Loss (and Why the Obvious Choice is Problematic)

Data selection is critical for training large language models on massive and heterogeneous corpora. Meta-learning for Training-data Selection offers a principled alternative to heuristic scoring by learning data weights from a target validation objective, but existing methods face a trade-off between fine-grained valua...

Zi-Lin Du, Bo-Wen Yang, Bo-Yang Li · 0 citations
#artificial intelligence Preprint Sep 2026

FactorEngram: Factorized N-gram Memory with Basis-Level Gating for Language Models

FactorEngram, a factorized n-gram memory with basis-level contextual gating that improves language modeling and downstream task performance and retrieves sparsity-regularized coefficients over a dictionary of basis vectors shared across patterns, so related patterns can reuse common components.

Bo-Wen Yang, Jing-Bo Zhou, Qing-Hong Miao et al. · 0 citations

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