94 citations · 206 across the 53 of their papers we have counts for
7 papers · 1 filter
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
Tianhang Zhang, Lin Qiu, Qipeng Guo +6
Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields. However, LLMs are prone to hallucinate untruthful or nonsens…
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Yi Xu, Junjie Ou, Hui Xu +4
Temporal knowledge graphs, representing the dynamic relationships and interactions between entities over time, have been identified as a promising approach for event forecasting. H…
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Bin Lu, Xiaoying Gan, Ze Zhao +4
Graph Neural Network (GNN) has demonstrated extraordinary performance in classifying graph properties. However, due to the selection bias of training and testing data (e.g., traini…
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence
Yi Xu, Shuqian Sheng, Bo Xue +3
Researchers usually come up with new ideas only after thoroughly comprehending vast quantities of literature. The difficulty of this procedure is exacerbated by the fact that the n…
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
Cheng Deng, Tianhang Zhang, Zhongmou He +9
Large language models (LLMs) have achieved great success in general domains of natural language processing. In this paper, we bring LLMs to the realm of geoscience with the objecti…
Revisiting Network Value: Sublinear Knowledge Law
Xinbing Wang, Luoyi Fu, Huquan Kang +3
Three influential laws, namely Sarnoff's Law, Metcalfe's Law, and Reed's Law, have been established to describe network value in terms of the number of neighbors, edges, and subgra…