Mor Geva

According to our database, Mor Geva authored at least 52 papers between 2017 and 2024.

Collaborative distances:

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

2024

Evaluating the Ripple Effects of Knowledge Editing in Language Models.

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

Trans. Assoc. Comput. Linguistics, 2024

Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models.

Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes

CoRR, 2024

Inferring Functionality of Attention Heads from their Parameters.

Amit Elhelo, Mor Geva

CoRR, 2024

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?

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

CoRR, 2024

Language Models Encode Numbers Using Digit Representations in Base 10.

Amit A. Levy, Mor Geva

CoRR, 2024

Eliciting Textual Descriptions from Representations of Continuous Prompts.

Dana Ramati, Daniela Gottesman, Mor Geva

CoRR, 2024

Towards Interpreting Visual Information Processing in Vision-Language Models.

Clement Neo, Luke Ong, Philip Torr, Mor Geva, David Krueger, Fazl Barez

CoRR, 2024

CoverBench: A Challenging Benchmark for Complex Claim Verification.

Alon Jacovi, Moran Ambar, Eyal Ben-David, Uri Shaham, Amir Feder, Mor Geva, Dror Marcus, Avi Caciularu

CoRR, 2024

When Can Transformers Count to n?

Gilad Yehudai, Haim Kaplan, Asma Ghandeharioun, Mor Geva, Amir Globerson

CoRR, 2024

From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty.

Maor Ivgi, Ori Yoran, Jonathan Berant, Mor Geva

CoRR, 2024

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces.

Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Hidden Language of Diffusion Models.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Gal Yona, Roee Aharoni, Mor Geva

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP.

Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Estimating Knowledge in Large Language Models Without Generating a Single Token.

Daniela Gottesman, Mor Geva

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries.

Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Gal Yona, Roee Aharoni, Mor Geva

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Do Large Language Models Latently Perform Multi-Hop Reasoning?

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Hidden Space of Transformer Language Adapters.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

Trans. Mach. Learn. Res., 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