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pro vyhledávání: '"Hong, Shengxin"'
Interactive feedback, where feedback flows in both directions between teacher and student, is more effective than traditional one-way feedback. However, it is often too time-consuming for widespread use in educational practice. While Large Language M
Externí odkaz:
http://arxiv.org/abs/2409.07453
Autor:
Hong, Shengxin, Fan, Xiuyi
Explainable Artificial Intelligence (XAI) has become critical in enhancing the transparency and trustworthiness of AI systems, especially as these systems are increasingly deployed in high-stakes domains such as healthcare and finance. Despite the pr
Externí odkaz:
http://arxiv.org/abs/2404.13419
ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM Disscusion via Argumentation Schemes
There are two main barriers to using large language models (LLMs) in clinical reasoning. Firstly, while LLMs exhibit significant promise in Natural Language Processing (NLP) tasks, their performance in complex reasoning and planning falls short of ex
Externí odkaz:
http://arxiv.org/abs/2403.06294