Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection

22 May 2023

Papers citing "Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection"

5 / 5 papers shown

Title
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 148 183 0 19 May 2022
Types of Out-of-Distribution Texts and How to Detect Them Udit Arora William Huang He He OODD 189 82 0 14 Sep 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 76 68 0 11 Jan 2021
Calibration of Pre-trained Transformers Shrey Desai Greg Durrett UQLM 218 243 0 17 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 283 6,003 0 20 Apr 2018