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2020 – today
- 2025
[i4]Fan Gao, Cheng Huang, Nyima Tashi, Xiangxiang Wang, Thupten Tsering, Ban Ma-bao, Renzeg Duojie, Gadeng Luosang, Rinchen Dongrub, Dorje Tashi, Xiao Feng, Yongbin Yu:
TLUE: A Tibetan Language Understanding Evaluation Benchmark. CoRR abs/2503.12051 (2025)- [i3]Cheng Huang, Fan Gao, Nyima Tashi, Yutong Liu, Xiangxiang Wang, Thupten Tsering, Ban Ma-bao, Renzeg Duojie, Gadeng Luosang, Rinchen Dongrub, Dorje Tashi, Xiao Feng, Yongbin Yu:
Sun-Shine: A Large Language Model for Tibetan Culture. CoRR abs/2503.18288 (2025) - [i2]Fan Gao, Cheng Huang, Nyima Tashi, Yutong Liu, Xiangxiang Wang, Thupten Tsering, Ban Ma-bao, Renzeg Duojie, Gadeng Luosang, Rinchen Dongrub, Dorje Tashi, Xiao Feng, Hao Wang, Yongbin Yu:
TIBSTC-CoT: A Multi-Domain Instruction Dataset for Chain-of-Thought Reasoning in Language Models. CoRR abs/2508.01977 (2025) - [i1]Cheng Huang, Nyima Tashi, Fan Gao, Yutong Liu, Jiahao Li, Hao Tian, Siyang Jiang, Thupten Tsering, Ban Ma-bao, Renzeg Duojie, Gadeng Luosang, Rinchen Dongrub, Dorje Tashi, Jin Zhang, Xiao Feng, Hao Wang, Jie Tang, Guojie Tang, Xiangxiang Wang, Jia Zhang, Tsengdar Lee, Yongbin Yu:
Tibetan Language and AI: A Comprehensive Survey of Resources, Methods and Challenges. CoRR abs/2510.19144 (2025) - 2024
- [j1]Dorje Tashi, Tianying Sheng, Bingtian Chen
, Renzeng Duojie, Rinchen Dongrub, Yongbin Yu, Xiangxiang Wang, Nyima Tashi:
Construction of a Tibetan Handwriting Khyug-yig Dataset. Data Intell. 6(3): 870-887 (2024) - [c3]Ziyue Zhang, Gaojie Xioing, Manping Fan, Yongbin Yu, Xiangxiang Wang, Karma Tashi, Rinchen Dongrub, Lei Li:
Hierarchical GAN for Tibetan Text Generation with Attention-Enhanced Feature Extraction. ICCIP 2024: 289-296 - [c2]Mingjun Zhou, Quzong Gesang, Nuo Qun, Tashi Nyima, Rinchen Dongrub:
Tibetan-Chinese Machine Translation Enhanced on Cross-Lingual Pre-Trained Model. SMC 2024: 1618-1623 - 2022
- [c1]Hao Wang, Yongbin Yu, Tashi Nyima, Rinchen Dongrub, Favour Ekong, Mengwei Ai, Kalzang Gyatso, Yong Cuo, Qun Nuo:
Life Is Short, Train It Less: Neural Machine Tibetan-Chinese Translation Based on mRASP and Dataset Enhancement. CCMT 2022: 54-59
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