Leveraging large language models for effective user interaction via conversations
The field of eXplainable AI (XAI) aims to clarify the decision-making processes of black-box AI models for human comprehension. Current XAI approaches mainly rely on static explanations, often failing to accommodate the diverse backgrounds and varying levels of user understanding. Recent studies hav...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2024
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Online Access: | https://hdl.handle.net/10356/175241 |