Detecting egregious responses in neural sequence-to-sequence models

Detecting egregious responses in neural sequence-to-sequence models

11 September 2018

Tianxing He

Papers citing "Detecting egregious responses in neural sequence-to-sequence models"

10 / 10 papers shown

Title
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation Tianxing He Jingyu Zhang Tianle Wang Sachin Kumar Kyunghyun Cho James R. Glass Yulia Tsvetkov 34 44 0 20 Dec 2022
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots Waiman Si Michael Backes Jeremy Blackburn Emiliano De Cristofaro Gianluca Stringhini Savvas Zannettou Yang Zhang 29 58 0 07 Sep 2022
Automatically Exposing Problems with Neural Dialog Models Dian Yu Kenji Sagae 23 9 0 14 Sep 2021
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models Haochen Liu Zhiwei Wang Tyler Derr Jiliang Tang AAML 11 15 0 27 May 2020
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models Tianxing He Jun Liu Kyunghyun Cho Myle Ott Bing-Quan Liu James R. Glass Fuchun Peng CLL 19 9 0 16 Oct 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models Haochen Liu Tyler Derr Zitao Liu Jiliang Tang 17 16 0 13 Sep 2019
Universal Adversarial Triggers for Attacking and Analyzing NLP Eric Wallace Shi Feng Nikhil Kandpal Matt Gardner Sameer Singh AAML SILM 29 835 0 20 Aug 2019
Negative Training for Neural Dialogue Response Generation Tianxing He James R. Glass 20 59 0 06 Mar 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 18 57 0 21 Jan 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 216 7,923 0 17 Aug 2015