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Eric Wallace
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Year
Universal Adversarial Triggers for Attacking and Analyzing NLP
E Wallace, S Feng, N Kandpal, M Gardner, S Singh
EMNLP 2019, 2019
3352019
Extracting Training Data from Large Language Models
N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ...
USENIX Security 2021, 2020
2732020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh
EMNLP 2020, 2020
2722020
Evaluating Models' Local Decision Boundaries via Contrast Sets
M Gardner, Y Artzi, V Basmova, J Berant, B Bogin, S Chen, P Dasigi, ...
EMNLP Findings 2020, 2020
2132020
Pathologies of Neural Models Make Interpretations Difficult
S Feng, E Wallace, II Grissom, M Iyyer, P Rodriguez, J Boyd-Graber
EMNLP 2018, 2018
1992018
Pretrained Transformers Improve Out-of-Distribution Robustness
D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song
ACL 2020, 2020
1512020
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
E Wallace, Y Wang, S Li, S Singh, M Gardner
EMNLP 2019, 2019
1302019
Calibrate Before Use: Improving Few-Shot Performance of Language Models
TZ Zhao, E Wallace, S Feng, D Klein, S Singh
ICML 2021, 2021
1142021
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
ICML 2020, 2020
1122020
Compositional Questions Do Not Necessitate Multi-hop Reasoning
S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer
ACL 2019, 2019
1002019
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, 2019
82*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, Best Paper Award, 2019
782019
Imitation Attacks and Defenses for Black-box Machine Translation Systems
E Wallace, M Stern, D Song
EMNLP 2020, 2020
432020
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
RL Logan IV, I Balažević, E Wallace, F Petroni, S Singh, S Riedel
ACL Findings 2022, 2021
352021
Concealed Data Poisoning Attacks on NLP Models
E Wallace, TZ Zhao, S Feng, S Singh
NAACL 2021, 2020
34*2020
Understanding Impacts of High-order Loss Approximations and Features in Deep Learning Interpretation
S Singla, E Wallace, S Feng, S Feizi
ICML 2019, 2019
322019
Misleading Failures of Partial-Input Baselines
S Feng, E Wallace, J Boyd-Graber
ACL 2019, 2019
302019
Detoxifying Language Models Risks Marginalizing Minority Voices
A Xu, E Pathak, E Wallace, S Gururangan, M Sap, D Klein
NAACL 2021, 2021
212021
Gradient-based Analysis of NLP Models is Manipulable
J Wang, J Tuyls, E Wallace, S Singh
EMNLP Findings 2020, 2020
202020
Interpreting Predictions of NLP Models
E Wallace, M Gardner, S Singh
EMNLP Tutorial 2020, 2020
102020
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