Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts

arXiv:2308.10410v3 Announce Type: replace
Abstract: Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved significant success across various general tasks. However, their effectiveness and limitations in the education domain are yet to be fully explored. In this work, we examine the proficiency of LLMs in generating succinct survey articles specific to the niche field of NLP in …

abstract articles arxiv computer computer science concepts cs.cl educational evaluation expert fields general inputs language language models large language large language models limitations llms materials nlp science style success survey tasks type update wikipedia