Jan. 31, 2024, 3:42 p.m. | Lingrui Mei Shenghua Liu Yiwei Wang Baolong Bi Xueqi Chen

cs.CL updates on arXiv.org arxiv.org

The dynamic nature of language, particularly evident in the realm of slang and memes on the Internet, poses serious challenges to the adaptability of large language models (LLMs). Traditionally anchored to static datasets, these models often struggle to keep up with the rapid linguistic evolution characteristic of online communities. This research addresses the critical need to bridge this gap, aiming to enhance LLMs' comprehension of the evolving new concepts on the internet, without the high cost of continual retraining. To …

adaptability challenges communities concept cs.cl datasets dynamic evolution internet language language models large language large language models llms memes nature online communities research slang struggle

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