FLUX
发表于 2025-3-21 17:35:34
书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0585405<br><br> <br><br>书目名称Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0585405<br><br> <br><br>
清晰
发表于 2025-3-21 22:40:10
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欢乐中国
发表于 2025-3-22 01:05:56
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我不怕牺牲
发表于 2025-3-22 08:08:11
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排他
发表于 2025-3-22 09:18:32
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delegate
发表于 2025-3-22 13:03:01
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integrated
发表于 2025-3-22 19:11:31
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非秘密
发表于 2025-3-23 00:33:18
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Licentious
发表于 2025-3-23 02:25:36
Evaluating the Use of Generative LLMs for Intralingual Diachronic Translation of Middle-Polish Textsperformance of the trained models was far from perfect, the quality of translations produced with ChatGPT was good in most cases. Although caution should be exercised, we believe that LLMs have a high potential for text-to-text annotation applications.
Angiogenesis
发表于 2025-3-23 06:14:25
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