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20142024
most citedUnderstanding Neural Networks through Representation Erasure

462 citations · 845 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL20232 cited

Backdoor Attacks with Input-unique Triggers in NLP

Xukun Zhou, Jiwei Li, Tianwei Zhang +3

Backdoor attack aims at inducing neural models to make incorrect predictions for poison data while keeping predictions on the clean dataset unchanged, which creates a considerable…

cs.CL20231 cited

Open World Classification with Adaptive Negative Samples

Ke Bai, Guoyin Wang, Jiwei Li +5

Open world classification is a task in natural language processing with key practical relevance and impact. Since the open or {\em unknown} category data only manifests in the infe…

cs.CL20219 cited

Faster Nearest Neighbor Machine Translation

Shuhe Wang, Jiwei Li, Yuxian Meng +5

NN based neural machine translation (NN-MT) has achieved state-of-the-art results in a variety of MT tasks. One significant shortcoming of NN-MT lies in its inefficiency i…

cs.CL2017462 cited

Understanding Neural Networks through Representation Erasure

Jiwei Li, Will Monroe, Dan Jurafsky

While neural networks have been successfully applied to many natural language processing tasks, they come at the cost of interpretability. In this paper, we propose a general metho…

cs.CL2016226 cited

A Simple, Fast Diverse Decoding Algorithm for Neural Generation

Jiwei Li, Will Monroe, Dan Jurafsky

In this paper, we propose a simple, fast decoding algorithm that fosters diversity in neural generation. The algorithm modifies the standard beam search algorithm by adding an inte…

cs.CL201672 cited

Learning through Dialogue Interactions by Asking Questions

Jiwei Li, Alexander H. Miller, Sumit Chopra +2

A good dialogue agent should have the ability to interact with users by both responding to questions and by asking questions, and importantly to learn from both types of interactio…