Developments and Challenges of Generative Artificial Intelligence in Comparative Literature:Discussion on Les Misérables and the Large Language Model
The rapid advancement of generative AI technology has garnered significant attention across various disciplines and fields.World literature,as a high-quality training corpus,has played a pivotal role in the refinement and development of large language models.The AI revolution has also brought forth multifaceted challenges for the field of comparative literature:1.Redefining the boundaries of comparative literature:following the era of cross-national,cross-disciplinary,and cross-cultural studies,the question of whether"cross-ecological research between human biological intelligence and artificial intelligence is necessary"has emerged as an unavoidable topic for comparative literature researchers.2.Navigating new challenges in comparative literature teaching and talent cultivation:the development of multimodal large language models has introduced a range of new challenges in comparative literature teaching and talent cultivation.3.Embracing a paradigm shift in comparative literature research:generative AI has ushered in a technological revolution for the entire research community.Comparative literature research must adapt to this new era,embracing new technologies and approaches to remain relevant.This article examines how comparative literature study ought to change to reflect the new times,new technologies,and new circumstances.It also anticipates that more scholars will take notice of this pressing issue.
Les Misérableslarge language models(LLMs)AIGCcomparative literature
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