55 citations · 93 across the 18 of their papers we have counts for
5 papers · 1 filter
A Principled Framework for Knowledge-enhanced Large Language Model
Saizhuo Wang, Zhihan Liu, Zhaoran Wang +1
Large Language Models (LLMs) are versatile, yet they often falter in tasks requiring deep and reliable reasoning due to issues like hallucinations, limiting their applicability in…
On the Evolution of Knowledge Graphs: A Survey and Perspective
Xuhui Jiang, Chengjin Xu, Yinghan Shen +6
Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensiv…
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
Saizhuo Wang, Hang Yuan, Leon Zhou +3
One of the most important tasks in quantitative investment research is mining new alphas (effective trading signals or factors). Traditional alpha mining methods, either hand-craft…
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang +6
Although large language models (LLMs) have achieved significant success in various tasks, they often struggle with hallucination problems, especially in scenarios requiring deep an…
Low-Complexity Iterative Methods for Complex-Variable Matrix Optimization Problems in Frobenius Norm
Sai Wang, Yi Gong
Complex-variable matrix optimization problems (CMOPs) in Frobenius norm emerge in many areas of applied mathematics and engineering applications. In this letter, we focus on solvin…