Feeding What You Need by Understanding What You Learned

Feeding What You Need by Understanding What You Learned

5 March 2022

Bang Liu

Papers citing "Feeding What You Need by Understanding What You Learned"

6 / 6 papers shown

Title
FAC $^2$ E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition Xiaoqiang Wang Bang Liu Lingfei Wu 35 0 0 29 Feb 2024
WYWEB: A NLP Evaluation Benchmark For Classical Chinese Bo Zhou Qianglong Chen Tianyu Wang Xiaoshi Zhong Yin Zhang ELM 27 10 0 23 May 2023
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 76 342 0 25 Jan 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan Ö. Arik L. Davis Tomas Pfister 165 196 0 16 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 266 31,267 0 16 Jan 2013