Mor Geva
Mor Geva
Tel Aviv University, Google Research
Verified email at - Homepage
Cited by
Cited by
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, ...
arXiv preprint arXiv:2206.04615, 2022
Transformer feed-forward layers are key-value memories
M Geva, R Schuster, J Berant, O Levy
arXiv preprint arXiv:2012.14913, 2020
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies
M Geva, D Khashabi, E Segal, T Khot, D Roth, J Berant
Transactions of the Association for Computational Linguistics 9, 346-361, 2021
Are we modeling the task or the annotator? an investigation of annotator bias in natural language understanding datasets
M Geva, Y Goldberg, J Berant
EMNLP 2019, 2019
Injecting Numerical Reasoning Skills into Language Models
M Geva, A Gupta, J Berant
ACL 2020, 2020
Transformer feed-forward layers build predictions by promoting concepts in the vocabulary space
M Geva, A Caciularu, KR Wang, Y Goldberg
arXiv preprint arXiv:2203.14680, 2022
Break It Down: A Question Understanding Benchmark
T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant
TACL, 2020
Dissecting recall of factual associations in auto-regressive language models
M Geva, J Bastings, K Filippova, A Globerson
arXiv preprint arXiv:2304.14767, 2023
Scrolls: Standardized comparison over long language sequences
U Shaham, E Segal, M Ivgi, A Efrat, O Yoran, A Haviv, A Gupta, W Xiong, ...
arXiv preprint arXiv:2201.03533, 2022
Analyzing transformers in embedding space
G Dar, M Geva, A Gupta, J Berant
arXiv preprint arXiv:2209.02535, 2022
Evaluating the ripple effects of knowledge editing in language models
R Cohen, E Biran, O Yoran, A Globerson, M Geva
Transactions of the Association for Computational Linguistics 12, 283-298, 2024
Crawling the internal knowledge-base of language models
R Cohen, M Geva, J Berant, A Globerson
arXiv preprint arXiv:2301.12810, 2023
Lm vs lm: Detecting factual errors via cross examination
R Cohen, M Hamri, M Geva, A Globerson
arXiv preprint arXiv:2305.13281, 2023
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
M Parmar, S Mishra, M Geva, C Baral
arXiv preprint arXiv:2205.00415, 2022
DiscoFuse: A Large-Scale Dataset for Discourse-based Sentence Fusion
M Geva, E Malmi, I Szpektor, J Berant
NAACL-HLT 2019 1, 3443-3455, 2019
In-context learning creates task vectors
R Hendel, M Geva, A Globerson
arXiv preprint arXiv:2310.15916, 2023
Emergence of communication in an interactive world with consistent speakers
B Bogin, M Geva, J Berant
arXiv preprint arXiv:1809.00549, 2018
Lm-debugger: An interactive tool for inspection and intervention in transformer-based language models
M Geva, A Caciularu, G Dar, P Roit, S Sadde, M Shlain, B Tamir, ...
arXiv preprint arXiv:2204.12130, 2022
Jump to Conclusions: Short-Cutting Transformers With Linear Transformations
A Yom Din, T Karidi, L Choshen, M Geva
arXiv e-prints, arXiv: 2303.09435, 2023
Understanding transformer memorization recall through idioms
A Haviv, I Cohen, J Gidron, R Schuster, Y Goldberg, M Geva
arXiv preprint arXiv:2210.03588, 2022
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