16 citations · 33 across the 18 of their papers we have counts for
3 papers · 2 filters
Multilingual Large Language Models Are Not (Yet) Code-Switchers
Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz +2
Multilingual Large Language Models (LLMs) have recently shown great capabilities in a wide range of tasks, exhibiting state-of-the-art performance through zero-shot or few-shot pro…
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde +12
While code-mixing is a common linguistic practice in many parts of the world, collecting high-quality and low-cost code-mixed data remains a challenge for natural language processi…
CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization
Ruochen Zhang, Carsten Eickhoff
Cross-lingual summarization (CLS) has attracted increasing interest in recent years due to the availability of large-scale web-mined datasets and the advancements of multilingual l…