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Towards Answering Open-ended Ethical Quandary Questions
[article]
2023
arXiv
pre-print
Considerable advancements have been made in various NLP tasks based on the impressive power of large language models (LLMs) and many NLP applications are deployed in our daily lives. In this work, we challenge the capability of LLMs with the new task of Ethical Quandary Generative Question Answering. Ethical quandary questions are more challenging to address because multiple conflicting answers may exist to a single quandary. We explore the current capability of LLMs in providing an answer with
arXiv:2205.05989v3
fatcat:44dvsapyavambhgr33cc5zubia