A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects
This survey conducts a comprehensive review of the literature on table mining with Large Language Models, exploring the challenges unique to this domain, such as heterogeneous table structures, contextual ambiguity, and domain-specific knowledge requirements.
Mingyue Cheng, Qingyang Mao, Qi Liu et al.
· ACM Computing Surveys · 13 citations