64 citations · 110 across the 8 of their papers we have counts for
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cs.CL2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Jaeyoung Kim, Kyuheon Jung, Dongbin Na +3
For real-world language applications, detecting an out-of-distribution (OOD) sample is helpful to alert users or reject such unreliable samples. However, modern over-parameterized…
cs.CL2023
Bag of Tricks for In-Distribution Calibration of Pretrained Transformers
Jaeyoung Kim, Dongbin Na, Sungchul Choi +1
While pre-trained language models (PLMs) have become a de-facto standard promoting the accuracy of text classification tasks, recent studies find that PLMs often predict over-confi…