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of 448
pro vyhledávání: '"Hou, Xia"'
Dialogue topic segmentation plays a crucial role in various types of dialogue modeling tasks. The state-of-the-art unsupervised DTS methods learn topic-aware discourse representations from conversation data through adjacent discourse matching and pse
Externí odkaz:
http://arxiv.org/abs/2409.07672
Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model
Autor:
Hou, Xia, Li, Qifeng, Yang, Jian, Li, Tongliang, Chai, Linzheng, Wu, Xianjie, Ji, Hangyuan, Li, Zhoujun, Nie, Jixuan, Dun, Jingbo, Song, Wenfeng
Instruction tuning as an effective technique aligns the outputs of large language models (LLMs) with human preference. But how to generate the seasonal multi-turn dialogues from raw documents for instruction tuning still requires further exploration.
Externí odkaz:
http://arxiv.org/abs/2407.03040
Publikováno v:
In Science of the Total Environment 10 November 2024 950
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In Computational Materials Science January 2025 246
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In Ecological Engineering December 2024 209
Publikováno v:
In Clinica Chimica Acta 15 August 2024 562
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In International Journal of Electrochemical Science August 2024 19(8)
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28458- (2024)
In managing unique complexities associated with Chinese medicinal quality assessment, metabolomics serves as an innovative tool. This study proposes an analytical approach to assess differing qualities of Scrophularia ningpoensis （S. ningpoensis）
Externí odkaz:
https://doaj.org/article/a8d6fd50a9044cb2a78db20c4830b7ab
Publikováno v:
In Journal of Molecular Structure 5 May 2024 1303
Publikováno v:
In Diamond & Related Materials May 2024 145