Measuring Taiwanese Mandarin Language Understanding

arXiv:2403.20180v1 Announce Type: new
Abstract: The evaluation of large language models (LLMs) has drawn substantial attention in the field recently. This work focuses on evaluating LLMs in a Chinese context, specifically, for Traditional Chinese which has been largely underrepresented in existing benchmarks. We present TMLU, a holistic evaluation suit tailored for assessing the advanced knowledge and reasoning capability in LLMs, under the context of Taiwanese Mandarin. TMLU consists of an array of 37 subjects across social science, STEM, humanities, Taiwan-specific …

abstract advanced arxiv attention benchmarks chinese context cs.cl evaluation knowledge language language models language understanding large language large language models llms measuring type understanding work