Yonatan Belinkov

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 166

Top Venues

CoRR

ICLR

ACL (1)

AAAI

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Zachary Bamberger, Ofek Glick, Chaim Baskin, Yonatan Belinkov
DEPTH: Discourse Education through Pre-Training Hierarchically. CoRR (2024)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. CoRR (2024)
Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. CoRR (2024)
Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR (2024)
Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) (2024)
Edo Dotan, Gal Jaschek, Tal Pupko, Yonatan Belinkov
Effect of tokenization on transformers for biological sequences. Bioinform. 40 (4) (2024)
Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, Yonatan Belinkov
A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry. CoRR (2024)
Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
Unified Concept Editing in Diffusion Models. WACV (2024)
Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR (2024)
Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov
Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. CoRR (2024)
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
Accelerating the Global Aggregation of Local Explanations. AAAI (2024)
Adir Rahamim, Yonatan Belinkov
ContraSim - Analyzing Neural Representations Based on Contrastive Learning. NAACL-HLT (2024)
Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines. ACL (1) (2024)
Boaz Carmeli, Yonatan Belinkov, Ron Meir
Concept-Best-Matching: Evaluating Compositionality in Emergent Communication. CoRR (2024)
Michael Hanna, Sandro Pezzelle, Yonatan Belinkov
Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms. CoRR (2024)
Opher Lieber, Barak Lenz, Hofit Bata, Gal Cohen, Jhonathan Osin, Itay Dalmedigos, Erez Safahi, Shaked Meirom, Yonatan Belinkov, Shai Shalev-Shwartz, Omri Abend, Raz Alon, Tomer Asida, Amir Bergman, Roman Glozman, Michael Gokhman, Avashalom Manevich, Nir Ratner, Noam Rozen, Erez Shwartz, Mor Zusman, Yoav Shoham
Jamba: A Hybrid Transformer-Mamba Language Model. CoRR (2024)
Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions. CoRR (2024)
Boaz Carmeli, Yonatan Belinkov, Ron Meir
Concept-Best-Matching: Evaluating Compositionality In Emergent Communication. ACL (Findings) (2024)
Tomer Ashuach, Martin Tutek, Yonatan Belinkov
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space. CoRR (2024)
Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, Yonatan Belinkov
A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry. EACL (2) (2024)
Dana Arad, Hadas Orgad, Yonatan Belinkov
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder. NAACL-HLT (2024)
Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines. CoRR (2024)
Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
Confidence Regulation Neurons in Language Models. CoRR (2024)
Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. CoRR (2024)
Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Linearity of Relation Decoding in Transformer Language Models. ICLR (2024)
Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. CoRR (2023)
Kevin Meng, Arnab Sen Sharma, Alex J. Andonian, Yonatan Belinkov, David Bau
Mass-Editing Memory in a Transformer. ICLR (2023)
Hadas Orgad, Yonatan Belinkov
BLIND: Bias Removal With No Demographics. ACL (1) (2023)
Boaz Carmeli, Ron Meir, Yonatan Belinkov
Emergent Quantized Communication. AAAI (2023)
Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. CoRR (2023)
Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
Linearity of Relation Decoding in Transformer Language Models. CoRR (2023)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. CoRR (2023)
Dana Arad, Hadas Orgad, Yonatan Belinkov
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder. CoRR (2023)
Ophir Münz-Manor, Michael Toker, Oren Mishali, Benny Kimelfeld, Yonatan Belinkov, Adir Cohen
FigureOut - Automatic Detection of Metaphors in Hebrew Across the Eras. DH (2023)
Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP (2023)
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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
Editing Implicit Assumptions in Text-to-Image Diffusion Models. ICCV (2023)
Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
When Language Models Fall in Love: Animacy Processing in Transformer Language Models. EMNLP (2023)
Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
Unified Concept Editing in Diffusion Models. CoRR (2023)
Alon Mor, Yonatan Belinkov, Benny Kimelfeld
Accelerating the Global Aggregation of Local Explanations. CoRR (2023)
Shahar Katz, Yonatan Belinkov
VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers. EMNLP (Findings) (2023)
Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR (2023)
Adir Rahamim, Yonatan Belinkov
ContraSim - A Similarity Measure Based on Contrastive Learning. CoRR (2023)
Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
When Language Models Fall in Love: Animacy Processing in Transformer Language Models. CoRR (2023)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows for Large Language Models. ACL (1) (2023)
Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
Editing Implicit Assumptions in Text-to-Image Diffusion Models. CoRR (2023)
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. ACL (1) (2023)
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. ACL (Findings) (2023)
Edo Dotan, Yonatan Belinkov, Oren Avram, Elya Wygoda, Noa Ecker, Michael Alburquerque, Omri Keren, Gil Loewenthal, Tal Pupko
Multiple sequence alignment as a sequence-to-sequence learning problem. ICLR (2023)
Shahar Katz, Yonatan Belinkov
Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT. CoRR (2023)
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
How Gender Debiasing Affects Internal Model Representations, and Why It Matters. NAACL-HLT (2022)
Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. CoRR (2022)
Hadas Orgad, Yonatan Belinkov
Debiasing NLP Models Without Demographic Information. CoRR (2022)
Omer Antverg, Eyal Ben-David, Yonatan Belinkov
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions. CoRR (2022)
Yonatan Belinkov
Probing Classifiers: Promises, Shortcomings, and Advances. Comput. Linguistics 48 (1) (2022)
Hadas Orgad, Yonatan Belinkov
Choose Your Lenses: Flaws in Gender Bias Evaluation. CoRR (2022)
Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
How Gender Debiasing Affects Internal Model Representations, and Why It Matters. CoRR (2022)
Kerem Zaman, Yonatan Belinkov
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference. EMNLP (2022)
Dimion Asael, Zachary M. Ziegler, Yonatan Belinkov
A Generative Approach for Mitigating Structural Biases in Natural Language Inference. *SEM@NAACL-HLT (2022)
Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov
Locating and Editing Factual Associations in GPT. NeurIPS (2022)
Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov
Locating and Editing Factual Knowledge in GPT. CoRR (2022)
Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR (2022)
Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau
Mass-Editing Memory in a Transformer. CoRR (2022)
Boaz Carmeli, Ron Meir, Yonatan Belinkov
Emergent Quantized Communication. CoRR (2022)
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
Measures of Information Reflect Memorization Patterns. CoRR (2022)
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
Measures of Information Reflect Memorization Patterns. NeurIPS (2022)
Joe Stacey, Yonatan Belinkov, Marek Rei
Supervising Model Attention with Human Explanations for Robust Natural Language Inference. AAAI (2022)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR (2022)
Omer Antverg, Yonatan Belinkov
On the Pitfalls of Analyzing Individual Neurons in Language Models. ICLR (2022)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR (2022)
Kerem Zaman, Yonatan Belinkov
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference. CoRR (2022)
Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL (2021)
Michael Mendelson, Yonatan Belinkov
Debiasing Methods in Natural Language Understanding Make Bias More Accessible. CoRR (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR (2021)
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. ICLR (2021)
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. CoRR (2021)
Yana Dranker, He He, Yonatan Belinkov
IRM - when it works and when it doesn't: A test case of natural language inference. NeurIPS (2021)
Dimion Asael, Zachary M. Ziegler, Yonatan Belinkov
A Generative Approach for Mitigating Structural Biases in Natural Language Inference. CoRR (2021)
Joe Stacey, Yonatan Belinkov, Marek Rei
Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention. CoRR (2021)
Yonatan Belinkov
Probing Classifiers: Promises, Shortcomings, and Alternatives. CoRR (2021)
Michael Mendelson, Yonatan Belinkov
Debiasing Methods in Natural Language Understanding Make Bias More Accessible. EMNLP (1) (2021)
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
Learning from others' mistakes: Avoiding dataset biases without modeling them. ICLR (2021)
Omer Antverg, Yonatan Belinkov
On the Pitfalls of Analyzing Individual Neurons in Language Models. CoRR (2021)
Yu-An Chung, Yonatan Belinkov, James R. Glass
Similarity Analysis of Self-Supervised Speech Representations. ICASSP (2021)
Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) (2021)
Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy
Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? CoRR (2020)
Abdelrhman Saleh, Tovly Deutsch, Stephen Casper, Yonatan Belinkov, Stuart M. Shieber
Probing Neural Dialog Models for Conversational Understanding. CoRR (2020)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. CoRR (2020)
Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov
Analyzing Individual Neurons in Pre-trained Language Models. CoRR (2020)
John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
Similarity Analysis of Contextual Word Representation Models. ACL (2020)
Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
Investigating Gender Bias in Language Models Using Causal Mediation Analysis. NeurIPS (2020)
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
Learning from others' mistakes: Avoiding dataset biases without modeling them. CoRR (2020)
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
A Constructive Prediction of the Generalization Error Across Scales. ICLR (2020)
Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
End-to-End Bias Mitigation by Modelling Biases in Corpora. ACL (2020)
Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott, Anders Søgaard
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations. CoRR (2020)
Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov
Analyzing Individual Neurons in Pre-trained Language Models. EMNLP (1) (2020)
Lucia Specia, Zhenhao Li, Juan Miguel Pino, Vishrav Chaudhary, Francisco Guzmán, Graham Neubig, Nadir Durrani, Yonatan Belinkov, Philipp Koehn, Hassan Sajjad, Paul Michel, Xian Li
Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP (2020)
Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott, Anders Søgaard
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations. ACL (2020)
Yu-An Chung, Yonatan Belinkov, James R. Glass
Similarity Analysis of Self-Supervised Speech Representations. CoRR (2020)
Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov
Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning. CoRR (2020)

Yonatan Belinkov.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yonatan Belinkov