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pro vyhledávání: '"Li, Jiahuan"'
Having been trained on massive pretraining data, large language models have shown excellent performance on many knowledge-intensive tasks. However, pretraining data tends to contain misleading and even conflicting information, and it is intriguing to
Externí odkaz:
http://arxiv.org/abs/2410.04784
Large language models demonstrate reasonable multilingual abilities, despite predominantly English-centric pretraining. However, the spontaneous multilingual alignment in these models is shown to be weak, leading to unsatisfactory cross-lingual trans
Externí odkaz:
http://arxiv.org/abs/2407.16222
Autor:
Geng, Xiang, Zhu, Ming, Li, Jiahuan, Lai, Zhejian, Zou, Wei, She, Shuaijie, Guo, Jiaxin, Zhao, Xiaofeng, Li, Yinglu, Li, Yuang, Su, Chang, Zhao, Yanqing, Lyu, Xinglin, Zhang, Min, Chen, Jiajun, Yang, Hao, Huang, Shujian
The scarcity of non-English data limits the development of non-English large language models (LLMs). Transforming English-centric LLMs to non-English has been identified as an effective and resource-efficient method. Previous works start from base LL
Externí odkaz:
http://arxiv.org/abs/2405.13923
Large Language Models (LLM) have demonstrated their strong ability in the field of machine translation (MT), yet they suffer from high computational cost and latency. Therefore, transferring translation knowledge from giant LLMs to medium-sized machi
Externí odkaz:
http://arxiv.org/abs/2403.09522
Large-scale Pretrained Language Models (LLMs), such as ChatGPT and GPT4, have shown strong abilities in multilingual translations, without being explicitly trained on parallel corpora. It is interesting how the LLMs obtain their ability to carry out
Externí odkaz:
http://arxiv.org/abs/2305.15083
Nearest Neighbor Machine Translation (kNNMT) is a simple and effective method of augmenting neural machine translation (NMT) with a token-level nearest neighbor retrieval mechanism. The effectiveness of kNNMT directly depends on the quality of retrie
Externí odkaz:
http://arxiv.org/abs/2212.08822
Publikováno v:
In Phytomedicine Plus November 2024 4(4)
Autor:
Shuang, Feng, Li, Jiahuan, Huang, Qingbao, Zhao, Wenye, Xu, Dongsheng, Han, Chao, Cheng, Haonan
Publikováno v:
In Pattern Recognition January 2025 157
Autor:
Li, Jiahuan1,2 (AUTHOR), Fu, Chengcheng2,3,4,5 (AUTHOR), Feng, Baoli1,2 (AUTHOR), Liu, Qingquan6 (AUTHOR), Gu, Jiangjiang7 (AUTHOR), Khan, Mohammad Nauman8 (AUTHOR), Sun, Lvhui1,2 (AUTHOR) lvhuisun@mail.hzau.edu.cn, Wu, Honghong2,3,4,5 (AUTHOR) honghong.wu@mail.hzau.edu.cn, Wu, Hao1,2 (AUTHOR) whao.1988@mail.hzau.edu.cn
Publikováno v:
Advanced Science. 7/24/2024, Vol. 11 Issue 28, p1-18. 18p.
Autor:
Wen, Weixing, Cao, Yue, Chen, Peng, Li, Jiahuan, Li, Weiwen, Huang, Guolin, Zheng, Haoxiao, Zhu, Xiaolin, Zhang, Hao, Chen, Yangxin, Huang, Xiaohui, Hu, Yunzhao, Huang, Yuli
Publikováno v:
In Life Sciences 1 December 2024 358