作者位次 #4/13SIGIR 2026Poster· Information Retrieval (Short)
M-DaQ: Retrieving Multilingual High Quality and Diverse Samples for Instruction Fine-Tuning Datasets
Chunguang Zhao · Yilun Liu · Pufan Zeng · Yuanchang Luo · Shimin Tao · Minggui HE · Weibin Meng · Song Xu · Chen Liu · Mahong Xia · Li Zhang · Boxing Chen · Daimeng Wei
摘要
Nultilingual instruction fine-tuning (IFT) empowers large language models to generalize across diverse linguistic and cultural contexts; however, high-quality, systematically curated multilingual IFT datasets remain scarce. To address this gap, we propose M-DaQ (Multilingual Diversity and Quality...