2026
MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages
ICLR 2026poster
Ensuring native-like quality of large language model (LLM) responses across many languages is challenging. To address this, we introduce MENLO, a framework that operationalizes the evaluation of native-like response quality based on audience design-inspired mechanisms. Using MENLO, we create a datas…