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| 關鍵字 (1-12 之 4351)
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 Most relevant titles條目 1-22 |
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| | Fusing Multimodal Knowledge in Language ModelsMichihiro Yasunaga
Ann Arbor : ProQuest Dissertations & Theses, 2024
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| 2024
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| 2
| | Towards Augmenting and Evaluating Large Language ModelsLiu, Tianyang
Ann Arbor : ProQuest Dissertations & Theses, 2024
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| 2024
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| 3
| | Adversarial Privacy Auditing of Synthetically Generated Data Produced by Large Language Models UsingDave, Krishna
Ann Arbor : ProQuest Dissertations & Theses, 2024
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| 2024
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| | Compressing Language Models Using Low-Rank Decomposition and Characterizing the Accuracy – EfficiencMoar, Chakshu
Ann Arbor : ProQuest Dissertations & Theses, 2024
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| 2024
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| | Uncovering Strategies for Personalized Treatment Selection Using Large Language ModelsMiao, Brenda.
Ann Arbor : ProQuest Dissertations & Theses, 2024
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| 2024
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| | Understanding large language models : learning their underlying concepts and technologies / by ThimiAmaratunga, Thimira, author
Berkeley, CA : Apress : Imprint: Apress, 2023
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| 2023
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| | Challenges and Methods for Alignment of Large Language Models with Human PreferencesDang, John Arthur MinhQuan
Ann Arbor : ProQuest Dissertations & Theses, 2023
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| 2023
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| | Designing and Evaluating Language Models for Human InteractionLee, Mina
Ann Arbor : ProQuest Dissertations & Theses, 2023
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| 2023
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| 9
| | Analyzing and Improving Compositionality in Neural Language Models = Fen xi han gai shan shen jing yYu, Lang
2021
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| 2021
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| 10
| | Conditional Neural Language Models for Multimodal Learning and Natural Language UnderstandingKiros, Jamie Ryan
2018
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| 2018
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| 11
| | Inspecting and Directing Neural Language ModelsNoraset, Thanapon
2018
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| 2018
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| 12
| | Neural Language Models for Data-driven Programming SupportRong, Xin
2017
相關連結
| 2017
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