Evaluating Semantic Parsing against a Simple Web-based Question Answering Model. - Alon Talmor; Mor Geva; Jonathan Berant (*SEM, 2017)

Learning to Search in Long Documents Using Document Structure. - Mor Geva; Jonathan Berant (COLING, 2018)

Emergence of Communication in an Interactive World with Consistent Speakers. - Ben Bogin; Mor Geva; Jonathan Berant (CoRR, 2018)

Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets. - Mor Geva; Yoav Goldberg; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. - Mor Geva; Eric Malmi; Idan Szpektor; Jonathan Berant (NAACL-HLT (1), 2019)

Injecting Numerical Reasoning Skills into Language Models. - Mor Geva; Ankit Gupta 001; Jonathan Berant (ACL, 2020)

Break It Down: A Question Understanding Benchmark. - Tomer Wolfson; Mor Geva; Ankit Gupta 001; Yoav Goldberg; Matt Gardner 001; Daniel Deutch; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

What's in Your Head? Emergent Behaviour in Multi-Task Transformer Models. - Mor Geva; Uri Katz; Aviv Ben-Arie; Jonathan Berant (EMNLP (1), 2021)

Transformer Feed-Forward Layers Are Key-Value Memories. - Mor Geva; Roei Schuster; Jonathan Berant; Omer Levy (EMNLP (1), 2021)

Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies. - Mor Geva; Daniel Khashabi; Elad Segal; Tushar Khot; Dan Roth 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

Robust and Interpretable Machine Reasoning Over Text - Mor Geva (2021)

SCROLLS: Standardized CompaRison Over Long Language Sequences. - Uri Shaham 002; Elad Segal; Maor Ivgi; Avia Efrat; Ori Yoran; Adi Haviv; Ankit Gupta 001; Wenhan Xiong; Mor Geva; Jonathan Berant; Omer Levy (EMNLP, 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 (EMNLP (Demos), 2022)

Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space. - Mor Geva; Avi Caciularu; Kevin Ro Wang; Yoav Goldberg (EMNLP, 2022)

Inferring Implicit Relations in Complex Questions with Language Models. - Uri Katz; Mor Geva; Jonathan Berant (EMNLP (Findings), 2022)

Inferring Implicit Relations with Language Models. - Uri Katz; Mor Geva; Jonathan Berant (CoRR, 2022)

Break, Perturb, Build: Automatic Perturbation of Reasoning Paths Through Question Decomposition. - Mor Geva; Tomer Wolfson; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2022)

Analyzing Transformers in Embedding Space. - Guy Dar; Mor Geva; Ankit Gupta 001; Jonathan Berant (ACL (1), 2023)

Complex Reasoning in Natural Languag. - Wenting Zhao; Mor Geva; Bill Yuchen Lin; Michihiro Yasunaga; Aman Madaan; Tao Yu 009 (ACL (tutorial), 2023)

Crawling The Internal Knowledge-Base of Language Models. - Roi Cohen; Mor Geva; Jonathan Berant; Amir Globerson (EACL (Findings), 2023)

Understanding Transformer Memorization Recall Through Idioms. - Adi Haviv; Ido Cohen 002; Jacob Gidron; Roei Schuster; Yoav Goldberg; Mor Geva (EACL, 2023)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. - Mihir Parmar; Swaroop Mishra; Mor Geva; Chitta Baral (EACL, 2023)

LM vs LM: Detecting Factual Errors via Cross Examination. - Roi Cohen; May Hamri; Mor Geva; Amir Globerson (EMNLP, 2023)

Dissecting Recall of Factual Associations in Auto-Regressive Language Models. - Mor Geva; Jasmijn Bastings; Katja Filippova; Amir Globerson (EMNLP, 2023)

In-Context Learning Creates Task Vectors. - Roee Hendel; Mor Geva; Amir Globerson (EMNLP (Findings), 2023)

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. - Mete Ismayilzada; Debjit Paul; Syrielle Montariol; Mor Geva; Antoine Bosselut (EMNLP, 2023)

A Comprehensive Evaluation of Tool-Assisted Generation Strategies. - Alon Jacovi; Avi Caciularu; Jonathan Herzig; Roee Aharoni; Bernd Bohnet; Mor Geva (EMNLP (Findings), 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; et al. (Trans. Mach. Learn. Res., 2023)

The Hidden Space of Transformer Language Adapters. - Jesujoba Alabi; Marius Mosbach; Matan Eyal; Dietrich Klakow; Mor Geva (ACL (1), 2024)

RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations. - Jing Huang 014; Zhengxuan Wu; Christopher Potts; Mor Geva; Atticus Geiger (ACL (1), 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 001; Roee Aharoni; Mor Geva (ACL (1), 2024)

Do Large Language Models Latently Perform Multi-Hop Reasoning? - Sohee Yang; Elena Gribovskaya; Nora Kassner; Mor Geva; Sebastian Riedel 001 (ACL (1), 2024)

Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers. - Gal Yona; Roee Aharoni; Mor Geva (ACL (1), 2024)

Jump to Conclusions: Short-Cutting Transformers with Linear Transformations. - Alexander Yom Din; Taelin Karidi; Leshem Choshen; Mor Geva (LREC/COLING, 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 (EMNLP, 2024)

Estimating Knowledge in Large Language Models Without Generating a Single Token. - Daniela Gottesman; Mor Geva (EMNLP, 2024)

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. - Shahar Katz; Yonatan Belinkov; Mor Geva; Lior Wolf (EMNLP, 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 (EMNLP, 2024)

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? - Gal Yona; Roee Aharoni; Mor Geva (EMNLP, 2024)

The Hidden Language of Diffusion Models. - Hila Chefer; Oran Lang; Mor Geva; Volodymyr Polosukhin; Assaf Shocher; Michal Irani; Inbar Mosseri; Lior Wolf (ICLR, 2024)

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models. - Asma Ghandeharioun; Avi Caciularu; Adam Pearce; Lucas Dixon; Mor Geva (ICML, 2024)

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. - Yihuai Hong; Lei Yu; Shauli Ravfogel; Haiqin Yang; Mor Geva (CoRR, 2024)

From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty. - Maor Ivgi; Ori Yoran; Jonathan Berant; Mor Geva (CoRR, 2024)

When Can Transformers Count to n? - Gilad Yehudai; Haim Kaplan; Asma Ghandeharioun; Mor Geva; Amir Globerson (CoRR, 2024)

CoverBench: A Challenging Benchmark for Complex Claim Verification. - Alon Jacovi; Moran Ambar; Eyal Ben-David; Uri Shaham 002; Amir Feder; Mor Geva; Dror Marcus; Avi Caciularu (CoRR, 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 002; Daniela Gottesman; Mor Geva; Raja Giryes (ACL (1), 2025)

Inferring Functionality of Attention Heads from their Parameters. - Amit Elhelo; Mor Geva (ACL (1), 2025)

Eliciting Textual Descriptions from Representations of Continuous Prompts. - Daniela Gottesman; Mor Geva; Dana Ramati (ACL (Findings), 2025)

Enhancing Automated Interpretability with Output-Centric Feature Descriptions. - Yoav Gur-Arieh; Roy Mayan; Chen Agassy; Atticus Geiger; Mor Geva (ACL (1), 2025)

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? - Sohee Yang; Nora Kassner; Elena Gribovskaya; Sebastian Riedel 001; Mor Geva (ACL (Findings), 2025)

Towards Interpreting Visual Information Processing in Vision-Language Models. - Clement Neo; Luke Ong; Philip Torr 001; Mor Geva; David Krueger 001; Fazl Barez (ICLR, 2025)

Language Models Encode Numbers Using Digit Representations in Base 10. - Amit A. Levy; Mor Geva (NAACL (Short Papers), 2025)

Open Problems in Machine Unlearning for AI Safety. - Fazl Barez; Tingchen Fu; Ameya Prabhu; Stephen Casper; Amartya Sanyal; Adel Bibi; Aidan O'Gara; Robert Kirk; Ben Bucknall; Timothy Fist; Luke Ong; Philip Torr 001; et al. (CoRR, 2025)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Preventing Rogue Agents Improves Multi-Agent Collaboration. - Ohav Barbi; Ori Yoran; Mor Geva (CoRR, 2025)

Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas. - Shiqi Chen; Tongyao Zhu; Ruochen Zhou; Jinghan Zhang 006; Siyang Gao; Juan Carlos Niebles; Mor Geva; Junxian He; Jiajun Wu 001; Manling Li (CoRR, 2025)

Precise In-Parameter Concept Erasure in Large Language Models. - Yoav Gur-Arieh; Clara Suslik; Yihuai Hong; Fazl Barez; Mor Geva (CoRR, 2025)

Decomposing MLP Activations into Interpretable Features via Semi-Nonnegative Matrix Factorization. - Or Shafran; Atticus Geiger; Mor Geva (CoRR, 2025)

How Well Can Reasoning Models Identify and Recover from Unhelpful Thoughts? - Sohee Yang; Sang-Woo Lee; Nora Kassner; Daniela Gottesman; Sebastian Riedel 001; Mor Geva (CoRR, 2025)

Universal Jailbreak Suffixes Are Strong Attention Hijackers. - Matan Ben-Tov; Mor Geva; Mahmood Sharif (CoRR, 2025)

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics. - Carter Blum; Katja Filippova; Ann Yuan; Asma Ghandeharioun; Julian Zimmert; Fred Zhang; Jessica Hoffmann; Tal Linzen; Martin Wattenberg; Lucas Dixon; Mor Geva (CoRR, 2025)

MoNaCo: More Natural and Complex Questions for Reasoning Across Dozens of Documents. - Tomer Wolfson; Harsh Trivedi; Mor Geva; Yoav Goldberg; Dan Roth 001; Tushar Khot; Ashish Sabharwal; Reut Tsarfaty (CoRR, 2025)