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Qinghang Bao

2 accepted papers

2025

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models

EMNLP 2025

High-quality data resources play a crucial role in learning large language models (LLMs), particularly for low-resource languages like Cantonese. Despite having more than 85 million native speakers, Cantonese is still considered a low-resource language in the field of natural language processing (NL

2025

How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models

NAACL 2025findings

The rapid evolution of large language models (LLMs) has transformed the competitive landscape in natural language processing (NLP), particularly for English and other data-rich languages. However, underrepresented languages like Cantonese, spoken by over 85 million people, face significant developme…