This paper introduces ConceptMath, a bilingual (English and Chinese), fine-grained
benchmark that evaluates concept-wise mathematical reasoning of Large Language Models …

The adeptness of Large Language Models (LLMs) in comprehending and following natural
language instructions is critical for their deployment in sophisticated real-world applications …

Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …

Abstract Large Language Models (LLMs) have made significant advancements across
numerous domains, but their capabilities in Chinese Classical Literature and Language Arts …

Evaluating the creativity of large language models (LLMs) in story writing is difficult because
LLM-generated stories could seemingly look creative but be very similar to some existing …

In the realm of large language models (LLMs), the ability of models to accurately follow
instructions is paramount as more agents and applications leverage LLMs for construction …

The growing interest in leveraging large language models is driven by their exceptional
imitation and reasoning capabilities. In-context learning (ICL), a streamlined method, has …