11 citations · 17 across the 5 of their papers we have counts for
5 papers
Financial Knowledge Large Language Model
Cehao Yang, Chengjin Xu, Yiyan Qi
Artificial intelligence is making significant strides in the finance industry, revolutionizing how data is processed and interpreted. Among these technologies, large language model…
Context Graph
Chengjin Xu, Muzhi Li, Cehao Yang +4
Knowledge Graphs (KGs) are foundational structures in many AI applications, representing entities and their interrelations through triples. However, triple-based KGs lack the conte…
A Survey on Large Language Model Hallucination via a Creativity Perspective
Xuhui Jiang, Yuxing Tian, Fengrui Hua +3
Hallucinations in large language models (LLMs) are always seen as limitations. However, could they also be a source of creativity? This survey explores this possibility, suggesting…
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Zhongwu Chen, Chengjin Xu, Fenglong Su +2
Temporal relation prediction in incomplete temporal knowledge graphs (TKGs) is a popular temporal knowledge graph completion (TKGC) problem in both transductive and inductive setti…
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph
Zhongwu Chen, Chengjin Xu, Fenglong Su +2
In the last few years, the solution to Knowledge Graph (KG) completion via learning embeddings of entities and relations has attracted a surge of interest. Temporal KGs(TKGs) exten…