Eric Wallace

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Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Shi FengUniversity of ChicagoVerified email at uchicago.edu
Florian TramèrAssistant Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Colin RaffelUNC Chapel Hill and Hugging FaceVerified email at cs.unc.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Jordan Boyd-GraberAssociate Professor, University of MarylandVerified email at umiacs.umd.edu
Nicholas CarliniGoogle DeepMindVerified email at google.com
Nikhil KandpalComputer Science Ph.D. Student, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Tony Z. ZhaoStanford UniversityVerified email at stanford.edu
Katherine LeeResearcher, Google Brain ResearchVerified email at google.com
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Sewon MinUniversity of WashingtonVerified email at cs.washington.edu
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Sebastian RiedelHonorary Professor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Dan KleinUC Berkeley

Eric Wallace

UC Berkeley

Verified email at berkeley.edu - Homepage

Natural Language Processing Machine Learning Computer Security


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh EMNLP 2020, 2020	859	2020
Extracting Training Data from Large Language Models N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ... USENIX Security 2021, 2020	755	2020
Universal Adversarial Triggers for Attacking and Analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019	585	2019
Calibrate Before Use: Improving Few-Shot Performance of Language Models TZ Zhao, E Wallace, S Feng, D Klein, S Singh ICML 2021, 2021	476	2021
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	363	2020
Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR 2023, 2022	342	2022
Pretrained Transformers Improve Out-of-Distribution Robustness D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song ACL 2020, 2020	333	2020
Pathologies of Neural Models Make Interpretations Difficult S Feng, E Wallace, II Grissom, M Iyyer, P Rodriguez, J Boyd-Graber EMNLP 2018, 2018	309*	2018
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019	228	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 ICML 2020, 2020	203	2020
InCoder: A Generative Model for Code Infilling and Synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... ICLR 2023, 2022	191	2022
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	134*	2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer ACL 2019, 2019	134	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	125	2019
Extracting Training Data from Diffusion Models N Carlini, J Hayes, M Nasr, M Jagielski, V Sehwag, F Tramer, B Balle, ... USENIX Security 2023, 2023	107	2023
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	104	2021
Concealed Data Poisoning Attacks on NLP Models E Wallace, TZ Zhao, S Feng, S Singh NAACL 2021, 2020	84*	2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems E Wallace, M Stern, D Song EMNLP 2020, 2020	79	2020
Deduplicating Training Data Mitigates Privacy Risks in Language Models N Kandpal, E Wallace, C Raffel ICML 2022, 2022	64	2022
Detoxifying Language Models Risks Marginalizing Minority Voices A Xu, E Pathak, E Wallace, S Gururangan, M Sap, D Klein NAACL 2021, 2021	61	2021

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