1 code implementation • 17 Aug 2023 • Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Linear relation representations may be obtained by constructing a first-order approximation to the LM from a single prompt, and they exist for a variety of factual, commonsense, and linguistic relations.
2 code implementations • 13 Oct 2022 • Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau
Recent work has shown exciting promise in updating large language models with new memories, so as to replace obsolete information or add specialized knowledge.
no code implementations • 28 Jul 2022 • Jagdeep Singh Bhatia, Kevin Meng
Perceptual hashes map images with identical semantic content to the same $n$-bit hash value, while mapping semantically-different images to different hashes.
2 code implementations • 10 Feb 2022 • Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov
To test our hypothesis that these computations correspond to factual association recall, we modify feed-forward weights to update specific factual associations using Rank-One Model Editing (ROME).
no code implementations • EACL 2021 • Zhengyuan Zhu, Kevin Meng, Josue Caraballo, Israa Jaradat, Xiao Shi, Zeyu Zhang, Farahnaz Akrami, Haojin Liao, Fatma Arslan, Damian Jimenez, Mohanmmed Samiul Saeef, Paras Pathak, Chengkai Li
This paper describes the current milestones achieved in our ongoing project that aims to understand the surveillance of, impact of and intervention on COVID-19 misinfodemic on Twitter.
1 code implementation • 18 Feb 2020 • Kevin Meng, Damian Jimenez, Fatma Arslan, Jacob Daniel Devasier, Daniel Obembe, Chengkai Li
We present a study on the efficacy of adversarial training on transformer neural network models, with respect to the task of detecting check-worthy claims.
no code implementations • 15 Mar 2019 • Kevin Meng, Yu Meng
Overcoming the visual barrier and developing "see-through vision" has been one of mankind's long-standing dreams.