Advancing sentiment understanding and safety in NLP systems
The rapid advancement of natural language processing (NLP), powered by pretrained and large language models (PLMs and LLMs), has fundamentally transformed human–machine interaction. However, integrating these systems into society demands more than just technical expertise. Their widespread adoption...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2025
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/183610 |
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