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LUNA: A Model-Based Universal Analysis Framework for Large Language Models
June 17, 2024, 4:41 a.m. | Da Song, Xuan Xie, Jiayang Song, Derui Zhu, Yuheng Huang, Felix Juefei-Xu, Lei Ma
cs.CL updates on arXiv.org arxiv.org
Abstract: Over the past decade, Artificial Intelligence (AI) has had great success recently and is being used in a wide range of academic and industrial fields. More recently, LLMs have made rapid advancements that have propelled AI to a new level, enabling even more diverse applications and industrial domains with intelligence, particularly in areas like software engineering and natural language processing. Nevertheless, a number of emerging trustworthiness concerns and issues exhibited in LLMs have already recently …
abstract academic analysis applications artificial artificial intelligence arxiv cs.ai cs.cl cs.cr cs.lg cs.se diverse diverse applications enabling fields framework industrial intelligence language language models large language large language models llms luna replace success type universal
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