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pro vyhledávání: '"Liu, Tongxuan"'
Autor:
Liu, Tongxuan, Xu, Wenjiang, Huang, Weizhe, Wang, Xingyu, Wang, Jiaxing, Yang, Hailong, Li, Jing
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks but their performance in complex logical reasoning tasks remains unsatisfactory. Although some prompting methods, such as Chain-of-Thought, can improve the re
Externí odkaz:
http://arxiv.org/abs/2409.17539
Autor:
Liu, Tongxuan, Wang, Xingyu, Huang, Weizhe, Xu, Wenjiang, Zeng, Yuting, Jiang, Lei, Yang, Hailong, Li, Jing
In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse NLP tasks. Extensive research has explored how to enhance the logical reasoning abilities such as Chain-of-Thought, Chain-of-Thought with Self-Cons
Externí odkaz:
http://arxiv.org/abs/2409.14051
Autor:
Wang, Siqi, Yang, Hailong, Wang, Xuezhu, Liu, Tongxuan, Wang, Pengbo, Liang, Xuning, Ma, Kejie, Feng, Tianyu, You, Xin, Bao, Yongjun, Liu, Yi, Luan, Zhongzhi, Qian, Depei
Large language models (LLM) have recently attracted surging interest due to their outstanding capabilities across various domains. However, enabling efficient LLM inference is challenging due to its autoregressive decoding that generates tokens only
Externí odkaz:
http://arxiv.org/abs/2402.15678
Autor:
Jiang, Wenqi, He, Zhenhao, Zhang, Shuai, Preußer, Thomas B., Zeng, Kai, Feng, Liang, Zhang, Jiansong, Liu, Tongxuan, Li, Yong, Zhou, Jingren, Zhang, Ce, Alonso, Gustavo
Deep neural networks are widely used in personalized recommendation systems. Unlike regular DNN inference workloads, recommendation inference is memory-bound due to the many random memory accesses needed to lookup the embedding tables. The inference
Externí odkaz:
http://arxiv.org/abs/2010.05894
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Publikováno v:
In Applied Catalysis B: Environment and Energy 5 December 2016 198:325-333
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In Energy Conversion and Management 1 July 2015 98:314-321
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In Applied Catalysis B: Environment and Energy April 2015 165:378-388
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In Thermochimica Acta 20 March 2015 604:45-51
Publikováno v:
In Chemical Engineering Journal 15 May 2014 244:382-390