Cross-lingual prompt exploration improves factual recall and consistency in LLMs across 17 languages more efficiently than native-language scaling.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
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Refines area-based and other DIF effect-size measures, identifies flaws in existing ones via simulation, and proposes unified cut-offs across Mantel-Haenszel, SIBTEST, and model-based methods with R implementation.
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Refining Effect-Size Measures and Classification for Differential Item Functioning: Toward Unified Guidelines Across Methods
Refines area-based and other DIF effect-size measures, identifies flaws in existing ones via simulation, and proposes unified cut-offs across Mantel-Haenszel, SIBTEST, and model-based methods with R implementation.