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LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

Zhen Zhang
Yuhua Zhao
Hang Gao
Mengting Hu
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Papers citing "LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty"

3 / 3 papers shown
Title
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following
Jie Zeng
Qianyu He
Qingyu Ren
Jiaqing Liang
Yanghua Xiao
Weikang Zhou
Zeye Sun
Fei Yu
84
0
0
24 Feb 2025
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
Software Mention Recognition with a Three-Stage Framework Based on BERTology Models at SOMD 2024
Thuy Nguyen Thi
Anh Nguyen Viet
D. Thin
Ngan Luu-Thuy Nguyen
24
0
0
23 Apr 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
245
9,042
0
06 Jun 2015