24 citations · 27 across the 4 of their papers we have counts for
4 papers
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Jifan Yu, Xiaozhi Wang, Shangqing Tu +32
The unprecedented performance of large language models (LLMs) necessitates improvements in evaluations. Rather than merely exploring the breadth of LLM abilities, we believe meticu…
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
Ji Qi, Chuchun Zhang, Xiaozhi Wang +8
The robustness to distribution changes ensures that NLP models can be successfully applied in the realistic world, especially for information extraction tasks. However, most prior…
ConstGCN: Constrained Transmission-based Graph Convolutional Networks for Document-level Relation Extraction
Ji Qi, Bin Xu, Kaisheng Zeng +5
Document-level relation extraction with graph neural networks faces a fundamental graph construction gap between training and inference - the golden graph structure only available…
A no-gold-standard technique to objectively evaluate quantitative imaging methods using patient data: Theory
Jinxin Liu, Ziping Liu, Joyce Mhlanga +2
Objective evaluation of quantitative imaging (QI) methods using measurements directly obtained from patient images is highly desirable but hindered by the non-availability of gold…