Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models

6 September 2018

Papers citing "Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models"

8 / 8 papers shown

Title
Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching Jiayi Yuan Ruixiang Tang Xiaoqian Jiang Xia Hu LM&MA 19 37 0 24 Mar 2023
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study Xin Xu Xiang Chen Ningyu Zhang Xin Xie Xi Chen Huajun Chen 13 10 0 19 Oct 2022
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling Emily Dinan Gavin Abercrombie A. S. Bergman Shannon L. Spruit Dirk Hovy Y-Lan Boureau Verena Rieser 27 105 0 07 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 21 172 0 14 Jun 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation Ruibo Liu Guangxuan Xu Chenyan Jia Weicheng Ma Lili Wang Soroush Vosoughi 23 107 0 05 Dec 2020
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 16 57 0 21 Jan 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 185 711 0 17 Apr 2018
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 198 1,327 0 05 Jun 2016