PEFTT: Parameter-Efficient Fine-Tuning for low-resource Tibetan pre-trained language models. - Mingjun Zhou; Daiqing Zhuoma; Qun Nuo; Tashi Nyima (CoRR, 2023)

Efficient Fine-Tuning for Low-Resource Tibetan Pre-trained Language Models. - Mingjun Zhou; Daiqing Zhuoma; Nuo Qun; Tashi Nyima (ICANN (7), 2024)

Research on Joint Entity-Relation Extraction for the Tibetan "Epic of King Gesar" Based on Multi-Semantic Information Fusion and Global Pointer Network. - Daiqing Zhuoma; Penghui Zhang; Jie Lang; Nuo Qun; Tashi Nyima (MLNLP, 2024)