威风
发表于 2025-3-21 18:36:43
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GLADE
发表于 2025-3-21 23:13:51
https://doi.org/10.1007/978-981-97-9431-7Information extraction; Machine translation; Discourse, dialogue and pragmatics; Natural language gener
amphibian
发表于 2025-3-22 04:21:28
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MIRTH
发表于 2025-3-22 08:39:15
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ellagic-acid
发表于 2025-3-22 09:55:36
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串通
发表于 2025-3-22 13:30:31
Learning to Generate Style-Specific Adapters for Stylized Dialogue Generatione systems. However, a major challenge to this task is the paucity of supervised data, resulting in suboptimal performance. Although some unsupervised methods have emerged, they tend to handle only a limited range of dialogue styles simultaneously. Retraining becomes necessary when new dialogue style
车床
发表于 2025-3-22 18:34:38
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裹住
发表于 2025-3-22 21:45:59
Multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint ing supporting facts from multiple paragraphs in the document and reasoning to get the answer. But some problems have not been well solved: during the process of extracting the answer, it is often disturbed by the non-real answer (i.e. similar answer) in the document; the lack of a related expressio
蹒跚
发表于 2025-3-23 03:56:28
Leveraging Large Language Models for QA Dialogue Dataset Construction and Analysis in Public ServiceI) context. Existing datasets often lack the necessary interactive features for effective and efficient interactions, hindering the development of customized and emotionally responsive systems. As public service demands become more diverse and complex in HRI, traditional datasets fail to support hig
ENNUI
发表于 2025-3-23 07:40:54
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