Learning to Perturb Word Embeddings for Out-of-distribution QA

6 May 2021

Papers citing "Learning to Perturb Word Embeddings for Out-of-distribution QA"

6 / 6 papers shown

Title
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang Sung Ju Hwang Gibbeum Lee Jaewoong Cho KELM 38 0 0 01 Nov 2024
HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models Seanie Lee Haebin Seong Dong Bok Lee Minki Kang Xiaoyin Chen Dominik Wagner Yoshua Bengio Juho Lee Sung Ju Hwang 67 2 0 02 Oct 2024
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 34 73 0 07 Jun 2023
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling J. Wang Chengyu Wang Jun Huang Ming Gao Aoying Zhou BDL UQLM NoLa 42 4 0 17 Feb 2023
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 114 93 0 06 Oct 2022
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning Seanie Lee Haebeom Lee Juho Lee S. Hwang MoMe CLL 38 16 0 06 Oct 2021