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#natural language process... Preprint Jul 2026

MechSparse: Mechanism-Guided Sparse PEFT Selection Is Task-Shaped

A preliminary diagnostic is distill -- prefer activation-norm when output structure dominates, treat causal selectors as a hypothesis for content-dominated tasks -- and release masks, scores, predictions, and evaluation files for direct replay.

Ha X. Son, Phat T. Tran-Truong, Xuan-Bach Le · 0 citations
#natural language process... Preprint Jul 2026

When Audit Quality Fails to Predict Downstream Utility: A Counterfactual Study of Synthetic-Data Selectors for Low-Resource African NLP

Quality-aware synthetic-data selection rests on a proxy: examples that an LLM judge rates as good should also help a downstream model learn. In a controlled replay in low-resource African-language classification, we show that this proxy breaks. Across four languages (Amharic, Hausa, Swahili, Yoruba), two classification...

Ha X. Son, Phat T. Tran-Truong, Xuan-Bach Le · 0 citations
#natural language process... Preprint Jul 2026

LangSelect: Cost-Aware Target-Language Routing for LLM Code Generation

LangSelect is introduced, a verification-aware router that selects the target language before generation and falls back when the first attempt fails, showing that output-language routing can define a practical cost-correctness frontier for unit-test-verifiable code generation.

Ha X. Son, Phat T. Tran-Truong, X. Le et al. · 0 citations

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