Kevin Meng

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David BauAssistant Professor at Northeastern University在 northeastern.edu 的电子邮件经过验证
Yonatan BelinkovTechnion在 technion.ac.il 的电子邮件经过验证
Alex AndonianPhD in EECS, MIT在 mit.edu 的电子邮件经过验证
Arnab Sen SharmaPh.D. student at Northeastern University在 sust.edu 的电子邮件经过验证
Evan HernandezGraduate Student, MIT在 mit.edu 的电子邮件经过验证
Martin WattenbergHarvard University / Google Research在 seas.harvard.edu 的电子邮件经过验证
Jacob AndreasMIT在 mit.edu 的电子邮件经过验证
Chengkai LiProfessor of Computer Science and Engineering, The University of Texas at Arlington在 uta.edu 的电子邮件经过验证
Jagdeep Singh BhatiaMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证

Kevin Meng

在 csail.mit.edu 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Locating and Editing Factual Associations in GPT K Meng, D Bau, A Andonian, Y Belinkov 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022	1063	2022
Mass-Editing Memory in a Transformer K Meng, AS Sharma, A Andonian, Y Belinkov, D Bau 11th International Conference on Learning Representations (ICLR 2023), 2022	431	2022
Linearity of relation decoding in transformer language models E Hernandez, AS Sharma, T Haklay, K Meng, M Wattenberg, J Andreas, ... 12th International Conference on Learning Representations (ICLR 2024), 2023	56	2023
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims K Meng, D Jimenez, F Arslan, JD Devasier, D Obembe, C Li ACM Transactions, 2020	18*	2020
A Dashboard for Mitigating the COVID-19 Misinfodemic Z Zhu, K Meng, J Caraballo, I Jaradat, X Shi, Z Zhang, F Akrami, H Liao, ... 16th Conference of the European Association for Computational Linguistics …, 2021	6	2021
Exploiting and Defending Against the Approximate Linearity of Apple’s NeuralHash JS Bhatia, K Meng ICML 2022 Workshop on Cybersecurity, 2022	4	2022
Interpreting and Editing Memory in Large Transformer Language Models K Meng Massachusetts Institute of Technology, 2024		2024
An End-to-End Computational System for Monitoring and Verifying Factual Claims K Meng NeurIPS 2021 Workshop on AI for Credible Elections, 2021		2021

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