Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning

27 January 2023

Papers citing "Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning"

9 / 9 papers shown

Title
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection Pei Wang Keqing He Yejie Wang Xiaoshuai Song Yutao Mou Jingang Wang Yunsen Xian Xunliang Cai Weiran Xu 30 6 0 27 Feb 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study Andreas Waldis Yufang Hou Iryna Gurevych 28 2 0 15 Sep 2023
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,843 0 18 Apr 2021
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection Alexander Podolskiy Dmitry Lipin A. Bout Ekaterina Artemova Irina Piontkovskaya OODD 88 82 0 11 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,916 0 31 Dec 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 178 451 0 10 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,586 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 406 2,584 0 03 Sep 2019
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 294 6,950 0 20 Apr 2018