Eric Wallace
Eric Wallace
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Pathologies of neural models make interpretations difficult
S Feng, E Wallace, II Grissom, M Iyyer, P Rodriguez, J Boyd-Graber
arXiv preprint arXiv:1804.07781, 2018
Universal Adversarial Triggers for Attacking and Analyzing NLP
E Wallace, S Feng, N Kandpal, M Gardner, S Singh
arXiv preprint arXiv:1908.07125, 2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer
ACL, 2019
Interpreting Neural Networks With Nearest Neighbors
E Wallace, S Feng, J Boyd-Graber
arXiv preprint arXiv:1809.02847, 2018
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Question Answering Examples
E Wallace, P Rodriguez, S Feng, I Yamada, J Boyd-Graber
TACL, 2019
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
S Singla, E Wallace, S Feng, S Feizi
ICML, 2019
Misleading Failures of Partial-input Baselines
S Feng, E Wallace, J Boyd-Graber
ACL, 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
E Wallace, Y Wang, S Li, S Singh, M Gardner
EMNLP, 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
E Wallace, J Tuyls, J Wang, S Subramanian, M Gardner, S Singh
EMNLP Demo, 2019
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
Z Li, E Wallace, S Shen, K Lin, K Keutzer, D Klein, JE Gonzalez
arXiv preprint arXiv:2002.11794, 2020
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