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cs.CL2023★ 1 cited
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations
Yuxin Ren, Qipeng Guo, Zhijing Jin +4
Transformer models bring propelling advances in various NLP tasks, thus inducing lots of interpretability research on the learned representations of the models. However, we raise a…
cs.CL2023
Tailoring Instructions to Student's Learning Levels Boosts Knowledge Distillation
Yuxin Ren, Zihan Zhong, Xingjian Shi +3
It has been commonly observed that a teacher model with superior performance does not necessarily result in a stronger student, highlighting a discrepancy between current teacher t…