Mor Geva

According to our database, Mor Geva authored at least 37 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.

Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger

CoRR, 2024

Do Large Language Models Latently Perform Multi-Hop Reasoning?

Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel

CoRR, 2024

The Hidden Space of Transformer Language Adapters.

Jesujoba O. Alabi, Marius Mosbach, Matan Eyal, Dietrich Klakow, Mor Geva

CoRR, 2024

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space.

Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf

CoRR, 2024

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains.

Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva

CoRR, 2024

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, Mor Geva

CoRR, 2024

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers.

Gal Yona, Roee Aharoni, Mor Geva

CoRR, 2024

2023

Evaluating the Ripple Effects of Knowledge Editing in Language Models.

Roi Cohen, Eden Biran, Ori Yoran, Amir Globerson, Mor Geva

CoRR, 2023

The Hidden Language of Diffusion Models.

Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf

CoRR, 2023

Jump to Conclusions: Short-Cutting Transformers With Linear Transformations.

Alexander Yom Din, Taelin Karidi, Leshem Choshen, Mor Geva

CoRR, 2023

A Comprehensive Evaluation of Tool-Assisted Generation Strategies.

Alon Jacovi, Avi Caciularu, Jonathan Herzig, Roee Aharoni, Bernd Bohnet, Mor Geva

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.

Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-Context Learning Creates Task Vectors.

Roee Hendel, Mor Geva, Amir Globerson

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Mor Geva, Jasmijn Bastings, Katja Filippova, Amir Globerson

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LM vs LM: Detecting Factual Errors via Cross Examination.

Roi Cohen, May Hamri, Mor Geva, Amir Globerson

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions.

Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Understanding Transformer Memorization Recall Through Idioms.

Adi Haviv, Ido Cohen, Jacob Gidron, Roei Schuster, Yoav Goldberg, Mor Geva

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Crawling The Internal Knowledge-Base of Language Models.

Roi Cohen, Mor Geva, Jonathan Berant, Amir Globerson

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Complex Reasoning in Natural Languag.

Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Analyzing Transformers in Embedding Space.

Guy Dar, Mor Geva, Ankit Gupta, Jonathan Berant

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition.

Mor Geva, Tomer Wolfson, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2022

Inferring Implicit Relations with Language Models.

Uri Katz, Mor Geva, Jonathan Berant

CoRR, 2022

Inferring Implicit Relations in Complex Questions with Language Models.

Uri Katz, Mor Geva, Jonathan Berant

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space.

Mor Geva, Avi Caciularu, Kevin Ro Wang, Yoav Goldberg

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LM-Debugger: An Interactive Tool for Inspection and Intervention in Transformer-Based Language Models.

Mor Geva, Avi Caciularu, Guy Dar, Paul Roit, Shoval Sadde, Micah Shlain, Bar Tamir, Yoav Goldberg

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SCROLLS: Standardized CompaRison Over Long Language Sequences.

Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Robust and Interpretable Machine Reasoning Over Text

Mor Geva

PhD thesis, 2021

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies.

Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2021

Transformer Feed-Forward Layers Are Key-Value Memories.

Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models.

Mor Geva, Uri Katz, Aviv Ben-Arie, Jonathan Berant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Break It Down: A Question Understanding Benchmark.

Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2020

Injecting Numerical Reasoning Skills into Language Models.

Mor Geva, Ankit Gupta, Jonathan Berant

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion.

Mor Geva, Eric Malmi, Idan Szpektor, Jonathan Berant

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets.

Mor Geva, Yoav Goldberg, Jonathan Berant

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Emergence of Communication in an Interactive World with Consistent Speakers.

Ben Bogin, Mor Geva, Jonathan Berant

CoRR, 2018

Learning to Search in Long Documents Using Document Structure.

Mor Geva, Jonathan Berant

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Evaluating Semantic Parsing against a Simple Web-based Question Answering Model.

Alon Talmor, Mor Geva, Jonathan Berant

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, 2017