IEPile: unearthing large scale schema-conditioned information extraction corpus
Abstract Large Language Models (LLMs) demonstrate remarkable potential across various
domains; however, they exhibit a significant performance gap in Information Extraction (IE) …
domains; however, they exhibit a significant performance gap in Information Extraction (IE) …
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools
Large Language Models (LLMs) often do not perform well on queries that require the
aggregation of information across texts. To better evaluate this setting and facilitate …
aggregation of information across texts. To better evaluate this setting and facilitate …
A Medical Knowledge Management Mechanism with Knowledge Hypergraph Theory
Q Wang, Q Li, C Gao, H Liu, F Xu, J Gu - Proceedings of the 2024 5th …, 2024 - dl.acm.org
The construction of medical knowledge graphs (KGs) structures complex medical data to
support precise clinical decision-making and knowledge discovery. A core challenge in …
support precise clinical decision-making and knowledge discovery. A core challenge in …