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
Sewon MinUniversity of WashingtonVerified email at cs.washington.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Verified email at berkeley.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	1995	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	1910	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	1374	2022
Calibrate Before Use: Improving Few-Shot Performance of Language Models TZ Zhao, E Wallace, S Feng, D Klein, S Singh ICML 2021, 2021	1318	2021
Universal Adversarial Triggers for Attacking and Analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019	943	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	647	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	617	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	497	2020
Pretrained Transformers Improve Out-of-Distribution Robustness D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song ACL 2020, 2020	488	2020
Large Language Models Struggle to Learn Long-Tail Knowledge N Kandpal, H Deng, A Roberts, E Wallace, C Raffel ICML 2023, 2022	447	2022
Pathologies of Neural Models Make Interpretations Difficult S Feng, E Wallace, II Grissom, M Iyyer, P Rodriguez, J Boyd-Graber EMNLP 2018, 2018	384	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	337	2020
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019	318	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	290	2023
Deduplicating Training Data Mitigates Privacy Risks in Language Models N Kandpal, E Wallace, C Raffel ICML 2022, 2022	258	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	223	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	208	2021
Concealed Data Poisoning Attacks on NLP Models E Wallace, TZ Zhao, S Feng, S Singh NAACL 2021, 2020	198	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	194*	2019
The False Promise of Imitating Proprietary LLMs A Gudibande, E Wallace, C Snell*, X Geng, H Liu, P Abbeel, S Levine, ... ICLR 2024, 2023	178	2023

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