157 citations · 238 across the 9 of their papers we have counts for
4 papers · 1 filter
Contextualized Perturbation for Textual Adversarial Attack
Dianqi Li, Yizhe Zhang, Hao Peng +4
Adversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness. Existing techniques of genera…
A Mixture of Heads is Better than Heads
Hao Peng, Roy Schwartz, Dianqi Li +1
Multi-head attentive neural architectures have achieved state-of-the-art results on a variety of natural language processing tasks. Evidence has shown that they are overparameteriz…
Contextual Text Style Transfer
Yu Cheng, Zhe Gan, Yizhe Zhang +3
We introduce a new task, Contextual Text Style Transfer - translating a sentence into a desired style with its surrounding context taken into account. This brings two key challenge…
Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions
Yitong Li, Dianqi Li, Sushant Prakash +1
This work shows how to improve and interpret the commonly used dual encoder model for response suggestion in dialogue. We present an attentive dual encoder model that includes an a…