Eric Wallace

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Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIVerified email at uci.edu
Shi FengThe George Washington UniversityVerified email at gwu.edu
Florian TramèrAssistant Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Nicholas CarliniGoogle DeepMindVerified email at google.com
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Matt GardnerScaled CognitionVerified email at scaledcognition.com
Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceVerified email at cs.toronto.edu
Katherine LeeResearcher, Google DeepMindVerified email at google.com
Jordan Boyd-GraberFull Professor, University of MarylandVerified email at umiacs.umd.edu
Nikhil KandpalComputer Science Ph.D. Candidate, University of TorontoVerified email at cs.toronto.edu
Tony Z. ZhaoStanford UniversityVerified email at stanford.edu
Sergey LevineUC Berkeley, Physical IntelligenceVerified email at eecs.berkeley.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Verified 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
Lilian WengOpenAIVerified email at openai.com
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
Extracting Training Data from Large Language Models N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ... USENIX Security 2021, 2020	1821	2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts T Shin, Y Razeghi, RL Logan IV, E Wallace, S Singh EMNLP 2020, 2020	1789	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	1226	2022
Calibrate Before Use: Improving Few-Shot Performance of Language Models TZ Zhao, E Wallace, S Feng, D Klein, S Singh ICML 2021, 2021	1219	2021
Universal Adversarial Triggers for Attacking and Analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019	899	2019
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	580	2022
Extracting Training Data from Diffusion Models N Carlini, J Hayes, M Nasr, M Jagielski, V Sehwag, F Tramer, B Balle, ... USENIX Security 2023, 2023	550	2023
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	481	2020
Pretrained Transformers Improve Out-of-Distribution Robustness D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song ACL 2020, 2020	461	2020
Large Language Models Struggle to Learn Long-Tail Knowledge N Kandpal, H Deng, A Roberts, E Wallace, C Raffel ICML 2023, 2022	385	2022
Pathologies of Neural Models Make Interpretations Difficult S Feng, E Wallace, II Grissom, M Iyyer, P Rodriguez, J Boyd-Graber EMNLP 2018, 2018	373	2018
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	310	2020
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019	308	2019
Scalable Extraction of Training Data from (Production) Language Models M Nasr, N Carlini, J Hayase, M Jagielski, AF Cooper, D Ippolito, ... arXiv preprint arXiv:2311.17035, 2023	234	2023
Deduplicating Training Data Mitigates Privacy Risks in Language Models N Kandpal, E Wallace, C Raffel ICML 2022, 2022	234	2022
Koala: A Dialogue Model for Academic Research X Geng, A Gudibande, H Liu, E Wallace, P Abbeel, S Levine, D Song BAIR Blog, 2023	206	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	197	2021
Concealed Data Poisoning Attacks on NLP Models E Wallace, TZ Zhao, S Feng, S Singh NAACL 2021, 2020	187	2020
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	182*	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	166	2019

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