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pro vyhledávání: '"Liu Tianming"'
Autor:
Liu Bo, Liu Tianming, Fan Fengliang, Liang Wenping, Han Jinzuo, Xue Dongbo, Ma Biao, Sun Haijun
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
BackgroundIn recent years, the vaccinia oncolytic virus has entered the clinical trial stage of examination and shown good progress. It has many advantages, such as good safety, high oncolytic efficiency, and the regulation ability of the tumor micro
Externí odkaz:
https://doaj.org/article/e9b5b8a3f963415198b8e6953cab9795
Autor:
Chen, Junhao, Shu, Peng, Li, Yiwei, Zhao, Huaqin, Jiang, Hanqi, Pan, Yi, Zhou, Yifan, Liu, Zhengliang, Howe, Lewis C, Liu, Tianming
Recent studies show that large language models (LLMs) are powerful tools for working with natural language, bringing advances in many areas of computational linguistics. However, these models face challenges when applied to low-resource languages due
Externí odkaz:
http://arxiv.org/abs/2412.05184
Autor:
Ding, Zhaojun, Liu, Zhengliang, Jiang, Hanqi, Gao, Yizhu, Zhai, Xiaoming, Liu, Tianming, Liu, Ninghao
Recent studies show that large language models (LLMs) are powerful tools for working with natural language, bringing advances in many areas of computational linguistics. However, these models face challenges when applied to low-resource languages due
Externí odkaz:
http://arxiv.org/abs/2412.04774
Autor:
Jiang, Hanqi, Pan, Yi, Chen, Junhao, Liu, Zhengliang, Zhou, Yifan, Shu, Peng, Li, Yiwei, Zhao, Huaqin, Mihm, Stephen, Howe, Lewis C, Liu, Tianming
Oracle bone script (OBS), as China's earliest mature writing system, present significant challenges in automatic recognition due to their complex pictographic structures and divergence from modern Chinese characters. We introduce OracleSage, a novel
Externí odkaz:
http://arxiv.org/abs/2411.17837
Autor:
Shu, Peng, Chen, Junhao, Liu, Zhengliang, Wang, Hui, Wu, Zihao, Zhong, Tianyang, Li, Yiwei, Zhao, Huaqin, Jiang, Hanqi, Pan, Yi, Zhou, Yifan, Owl, Constance, Zhai, Xiaoming, Liu, Ninghao, Saunt, Claudio, Liu, Tianming
Large Language Models (LLMs) have demonstrated remarkable success across a wide range of tasks and domains. However, their performance in low-resource language translation, particularly when translating into these languages, remains underexplored. Th
Externí odkaz:
http://arxiv.org/abs/2411.11295
Autor:
Xu, Shaochen, Zhou, Yifan, Liu, Zhengliang, Wu, Zihao, Zhong, Tianyang, Zhao, Huaqin, Li, Yiwei, Jiang, Hanqi, Pan, Yi, Chen, Junhao, Lu, Jin, Zhang, Wei, Zhang, Tuo, Zhang, Lu, Zhu, Dajiang, Li, Xiang, Liu, Wei, Li, Quanzheng, Sikora, Andrea, Zhai, Xiaoming, Xiang, Zhen, Liu, Tianming
Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model-based approaches, including those leveraging in-context demonstration
Externí odkaz:
http://arxiv.org/abs/2411.14461
Autor:
Zhao, Huaqin, Li, Jiaxi, Pan, Yi, Liang, Shizhe, Yang, Xiaofeng, Liu, Wei, Li, Xiang, Dou, Fei, Liu, Tianming, Lu, Jin
Fine-tuning large language models (LLMs) poses significant memory challenges, as the back-propagation process demands extensive resources, especially with growing model sizes. Recent work, MeZO, addresses this issue using a zeroth-order (ZO) optimiza
Externí odkaz:
http://arxiv.org/abs/2411.10696
Autor:
Wang, Jiaqi, Zhao, Huan, Yang, Zhenyuan, Shu, Peng, Chen, Junhao, Sun, Haobo, Liang, Ruixi, Li, Shixin, Shi, Pengcheng, Ma, Longjun, Liu, Zongjia, Liu, Zhengliang, Zhong, Tianyang, Zhang, Yutong, Ma, Chong, Zhang, Xin, Zhang, Tuo, Ding, Tianli, Ren, Yudan, Liu, Tianming, Jiang, Xi, Zhang, Shu
In this paper, we review legal testing methods based on Large Language Models (LLMs), using the OPENAI o1 model as a case study to evaluate the performance of large models in applying legal provisions. We compare current state-of-the-art LLMs, includ
Externí odkaz:
http://arxiv.org/abs/2411.10137
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus
Autor:
Chen, Minheng, Cao, Chao, Chen, Tong, Zhuang, Yan, Zhang, Jing, Lyu, Yanjun, Yu, Xiaowei, Zhang, Lu, Liu, Tianming, Zhu, Dajiang
The 3-hinge gyrus (3HG) is a newly defined folding pattern, which is the conjunction of gyri coming from three directions in cortical folding. Many studies demonstrated that 3HGs can be reliable nodes when constructing brain networks or connectome si
Externí odkaz:
http://arxiv.org/abs/2410.23598
Autor:
Kim, Sekeun, Jin, Pengfei, Song, Sifan, Chen, Cheng, Li, Yiwei, Ren, Hui, Li, Xiang, Liu, Tianming, Li, Quanzheng
Foundation models have recently gained significant attention because of their generalizability and adaptability across multiple tasks and data distributions. Although medical foundation models have emerged, solutions for cardiac imaging, especially e
Externí odkaz:
http://arxiv.org/abs/2410.23413