Yonatan Belinkov

243 papers A* 40A 4B 2Misc 1Journal 140Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Between the Layers Lies the Truth: Uncertainty Estimation in LLMs Using Intra-Layer Local Information Scores. CoRR Zvi Badash, Yonatan Belinkov, Moti Freiman
2026	J	`jnl`	CtD: Composition through Decomposition in Emergent Communication. CoRR Boaz Carmeli, Ron Meir, Yonatan Belinkov
2026	J	`jnl`	Decomposing Query-Key Feature Interactions Using Contrastive Covariances. CoRR Andrew Lee, Yonatan Belinkov, Fernanda B. Viégas, Martin Wattenberg
2026	J	`jnl`	Induction Meets Biology: Mechanisms of Repeat Detection in Protein Language Models. CoRR Gal Kesten-Pomeranz, Yaniv Nikankin, Anja Reusch, Tomer Tsaban, Ora Schueler-Furman, Yonatan Belinkov
2026	J	`jnl`	Investigating the Development of Task-Oriented Communication in Vision-Language Models. CoRR Boaz Carmeli, Orr Paradise, Shafi Goldwasser, Yonatan Belinkov, Ron Meir
2026	J	`jnl`	Mechanisms of AI Protein Folding in ESMFold. CoRR Kevin Lu, Jannik Brinkmann, Stefan Huber, Aaron Mueller, Yonatan Belinkov, David Bau, Chris Wendler
2026	J	`jnl`	Mechanisms of Prompt-Induced Hallucination in Vision-Language Models. CoRR William Rudman, Michal Golovanevsky, Dana Arad, Yonatan Belinkov, Ritambhara Singh, Carsten Eickhoff, Kyle Mahowald
2026	J	`jnl`	Old Habits Die Hard: How Conversational History Geometrically Traps LLMs. CoRR Adi Simhi, Fazl Barez, Martin Tutek, Yonatan Belinkov, Shay B. Cohen
2026	J	`jnl`	Pitfalls in Evaluating Interpretability Agents. CoRR Tal Haklay, Nikhil Prakash, Sana Pandey, Antonio Torralba, Aaron Mueller, Jacob Andreas, Tamar Rott Shaham, Yonatan Belinkov
2026	J	`jnl`	Will it Merge? On The Causes of Model Mergeability. CoRR Adir Rahamim, Asaf Yehudai, Boaz Carmeli, Leshem Choshen, Yosi Mass, Yonatan Belinkov
2025	A*	`conf`	Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions. ICLR Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
2025	J	`jnl`	Are formal and functional linguistic mechanisms dissociated in language models? CoRR Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
2025	A*	`conf`	Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics. ICLR Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov
2025	A*	`conf`	Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models. EMNLP Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
2025	J	`jnl`	Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models. CoRR Zeping Yu, Yonatan Belinkov, Sophia Ananiadou
2025	J	`jnl`	BetaAlign: a deep learning approach for multiple sequence alignment. Bioinform. Edo Dotan, Elya Wygoda, Noa Ecker, Michael Alburquerque, Oren Avram, Yonatan Belinkov, Tal Pupko
2025	J	`jnl`	BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection. CoRR Yaniv Nikankin, Dana Arad, Itay Itzhak, Anja Reusch, Adi Simhi, Gal Kesten-Pomeranz, Yonatan Belinkov
2025	J	`jnl`	CRISP: Persistent Concept Unlearning via Sparse Autoencoders. CoRR Tomer Ashuach, Dana Arad, Aaron Mueller, Martin Tutek, Yonatan Belinkov
2025	A*	`conf`	CtD: Composition through Decomposition in Emergent Communication. ICLR Boaz Carmeli, Ron Meir, Yonatan Belinkov
2025	J	`jnl`	DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models. CoRR Mor Ventura, Michael Toker, Or Patashnik, Yonatan Belinkov, Roi Reichart
2025	J	`jnl`	Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models. CoRR Dana Arad, Yonatan Belinkov, Hanjie Chen, Najoung Kim, Hosein Mohebbi, Aaron Mueller, Gabriele Sarti, Martin Tutek
2025	J	`jnl`	Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models. CoRR Guy Kaplan, Michael Toker, Yuval Reif, Yonatan Belinkov, Roy Schwartz
2025	J	`jnl`	HACK: Hallucinations Along Certainty and Knowledge Axes. CoRR Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov
2025	J	`jnl`	How Generative IR Retrieves Documents Mechanistically. CoRR Anja Reusch, Yonatan Belinkov
2025	J	`jnl`	Inside-Out: Hidden Factual Knowledge in LLMs. CoRR Zorik Gekhman, Eyal Ben-David, Hadas Orgad, Eran Ofek, Yonatan Belinkov, Idan Szpektor, Jonathan Herzig, Roi Reichart
2025	A*	`conf`	LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. ICLR Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov
2025	J	`jnl`	Language Models use Lookbacks to Track Beliefs. CoRR Nikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl, Yonatan Belinkov, Tamar Rott Shaham, David Bau, Atticus Geiger
2025	A*	`conf`	MIB: A Mechanistic Interpretability Benchmark. ICML Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov
2025	J	`jnl`	MIB: A Mechanistic Interpretability Benchmark. CoRR Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov
2025	J	`jnl`	ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs. CoRR Adi Simhi, Jonathan Herzig, Martin Tutek, Itay Itzhak, Idan Szpektor, Yonatan Belinkov
2025	A*	`conf`	Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps. EMNLP Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, Yonatan Belinkov
2025	J	`jnl`	Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps. CoRR Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, Yonatan Belinkov
2025	—	`conf`	Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models. NAACL (Long Papers) Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov
2025	J	`jnl`	Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models. CoRR Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov
2025	J	`jnl`	Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs. CoRR Itay Itzhak, Yonatan Belinkov, Gabriel Stanovsky
2025	—	`conf`	Position-aware Automatic Circuit Discovery. ACL (1) Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	Position-aware Automatic Circuit Discovery. CoRR Tal Haklay, Hadas Orgad, David Bau, Aaron Mueller, Yonatan Belinkov
2025	—	`conf`	REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space. ACL (Findings) Tomer Ashuach, Martin Tutek, Yonatan Belinkov
2025	A*	`conf`	Reverse-Engineering the Retrieval Process in GenIR Models. SIGIR Anja Reusch, Yonatan Belinkov
2025	A*	`conf`	SAEs Are Good for Steering - If You Select the Right Features. EMNLP Dana Arad, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	SAEs Are Good for Steering - If You Select the Right Features. CoRR Dana Arad, Aaron Mueller, Yonatan Belinkov
2025	J	`jnl`	Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs. CoRR Yaniv Nikankin, Dana Arad, Yossi Gandelsman, Yonatan Belinkov
2025	J	`jnl`	Silent Tokens, Loud Effects: Padding in LLMs. CoRR Rom Himelstein, Amit Levi, Yonatan Belinkov, Avi Mendelson
2025	A*	`conf`	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. ICLR Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
2025	J	`jnl`	Structured RAG for Answering Aggregative Questions. CoRR Omri Koshorek, Niv Granot, Aviv Alloni, Shahar Admati, Roee Hendel, Ido Weiss, Alan Arazi, Shay-Nitzan Cohen, Yonatan Belinkov
2025	J	`jnl`	Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs. CoRR Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov
2025	—	`conf`	Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer. EMNLP (Findings) Adi Simhi, Itay Itzhak, Fazl Barez, Gabriel Stanovsky, Yonatan Belinkov
2025	A*	`conf`	Unsupervised Translation of Emergent Communication. AAAI Ido Levy, Orr Paradise, Boaz Carmeli, Ron Meir, Shafi Goldwasser, Yonatan Belinkov
2025	J	`jnl`	Unsupervised Translation of Emergent Communication. CoRR Ido Levy, Orr Paradise, Boaz Carmeli, Ron Meir, Shafi Goldwasser, Yonatan Belinkov
2024	—	`conf`	A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry. EACL (2) Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, Yonatan Belinkov
2024	J	`jnl`	A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry. CoRR Michael Toker, Oren Mishali, Ophir Münz-Manor, Benny Kimelfeld, Yonatan Belinkov
2024	A*	`conf`	Accelerating the Global Aggregation of Local Explanations. AAAI Alon Mor, Yonatan Belinkov, Benny Kimelfeld
2024	J	`jnl`	Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions. CoRR Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov, Hannaneh Hajishirzi, Ashish Sabharwal
2024	J	`jnl`	Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics. CoRR Yaniv Nikankin, Anja Reusch, Aaron Mueller, Yonatan Belinkov
2024	A*	`conf`	Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. EMNLP Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf
2024	J	`jnl`	Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. CoRR Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf
2024	—	`conf`	Concept-Best-Matching: Evaluating Compositionality In Emergent Communication. ACL (Findings) Boaz Carmeli, Yonatan Belinkov, Ron Meir
2024	J	`jnl`	Concept-Best-Matching: Evaluating Compositionality in Emergent Communication. CoRR Boaz Carmeli, Yonatan Belinkov, Ron Meir
2024	A*	`conf`	Confidence Regulation Neurons in Language Models. NeurIPS Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024	J	`jnl`	Confidence Regulation Neurons in Language Models. CoRR Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
2024	J	`jnl`	Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs. CoRR Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov
2024	J	`jnl`	Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. CoRR Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin
2024	—	`conf`	ContraSim - Analyzing Neural Representations Based on Contrastive Learning. NAACL-HLT Adir Rahamim, Yonatan Belinkov
2024	J	`jnl`	DEPTH: Discourse Education through Pre-Training Hierarchically. CoRR Zachary Bamberger, Ofek Glick, Chaim Baskin, Yonatan Belinkov
2024	—	`conf`	Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines. ACL (1) Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov
2024	J	`jnl`	Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines. CoRR Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov
2024	J	`jnl`	Distinguishing Ignorance from Error in LLM Hallucinations. CoRR Adi Simhi, Jonathan Herzig, Idan Szpektor, Yonatan Belinkov
2024	J	`jnl`	Effect of tokenization on transformers for biological sequences. Bioinform. Edo Dotan, Gal Jaschek, Tal Pupko, Yonatan Belinkov
2024	A*	`conf`	Fast Forwarding Low-Rank Training. EMNLP Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov
2024	J	`jnl`	Fast Forwarding Low-Rank Training. CoRR Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov
2024	A*	`conf`	Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. ICLR Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
2024	J	`jnl`	Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking. CoRR Nikhil Prakash, Tamar Rott Shaham, Tal Haklay, Yonatan Belinkov, David Bau
2024	—	`conf`	Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2024	J	`jnl`	Growing a Tail: Increasing Output Diversity in Large Language Models. CoRR Michal Shur-Ofry, Bar Horowitz-Amsalem, Adir Rahamim, Yonatan Belinkov
2024	J	`jnl`	Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding Model Mechanisms. CoRR Michael Hanna, Sandro Pezzelle, Yonatan Belinkov
2024	J	`jnl`	Jamba-1.5: Hybrid Transformer-Mamba Models at Scale. CoRR Barak Lenz, Alan Arazi, Amir Bergman, Avshalom Manevich, Barak Peleg, Ben Aviram, Chen Almagor, Clara Fridman, Dan Padnos, Daniel Gissin, Daniel Jannai, Dor Muhlgay, Dor Zimberg, Edden M. Gerber, Elad Dolev, Eran Krakovsky, Erez Safahi, Erez Schwartz, Gal Cohen, Gal Shachaf, Haim Rozenblum, Hofit Bata, Ido Blass, Inbal Magar, Itay Dalmedigos, Jhonathan Osin, Julie Fadlon, Maria Rozman, Matan Danos, Michael Gokhman, Mor Zusman, Naama Gidron, Nir Ratner, Noam Gat, Noam Rozen, Oded Fried, Ohad Leshno, Omer Antverg, Omri Abend, Opher Lieber, Or Dagan, Orit Cohavi, Raz Alon, Ro'i Belson, Roi Cohen, Rom Gilad, Roman Glozman, Shahar Lev, Shaked Meirom, Tal Delbari, Tal Ness, Tomer Asida, Tom Ben Gal, Tom Braude, Uriya Pumerantz, Yehoshua Cohen, Yonatan Belinkov, Yuval Globerson, Yuval Peleg Levy, Yoav Shoham
2024	J	`jnl`	Jamba: A Hybrid Transformer-Mamba Language Model. CoRR 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
2024	J	`jnl`	LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations. CoRR Hadas Orgad, Michael Toker, Zorik Gekhman, Roi Reichart, Idan Szpektor, Hadas Kotek, Yonatan Belinkov
2024	—	`conf`	Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. NAACL (Short Papers) Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2024	J	`jnl`	Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information. CoRR Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2024	A*	`conf`	Linearity of Relation Decoding in Transformer Language Models. ICLR Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
2024	J	`jnl`	REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space. CoRR Tomer Ashuach, Martin Tutek, Yonatan Belinkov
2024	—	`conf`	ReFACT: Updating Text-to-Image Models by Editing the Text Encoder. NAACL-HLT Dana Arad, Hadas Orgad, Yonatan Belinkov
2024	A*	`conf`	Semantics and Spatiality of Emergent Communication. NeurIPS Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov
2024	J	`jnl`	Semantics and Spatiality of Emergent Communication. CoRR Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov
2024	J	`jnl`	Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models. CoRR Samuel Marks, Can Rager, Eric J. Michaud, Yonatan Belinkov, David Bau, Aaron Mueller
2024	J	`jnl`	The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability. CoRR Aaron Mueller, Jannik Brinkmann, Millicent L. Li, Samuel Marks, Koyena Pal, Nikhil Prakash, Can Rager, Aruna Sankaranarayanan, Arnab Sen Sharma, Jiuding Sun, Eric Todd, David Bau, Yonatan Belinkov
2024	A	`conf`	Unified Concept Editing in Diffusion Models. WACV Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
2023	A*	`conf`	A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis. EMNLP Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
2023	J	`jnl`	Accelerating the Global Aggregation of Local Explanations. CoRR Alon Mor, Yonatan Belinkov, Benny Kimelfeld
2023	—	`conf`	BLIND: Bias Removal With No Demographics. ACL (1) Hadas Orgad, Yonatan Belinkov
2023	J	`jnl`	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 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 W. 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
2023	J	`jnl`	ContraSim - A Similarity Measure Based on Contrastive Learning. CoRR Adir Rahamim, Yonatan Belinkov
2023	A*	`conf`	Editing Implicit Assumptions in Text-to-Image Diffusion Models. ICCV Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
2023	J	`jnl`	Editing Implicit Assumptions in Text-to-Image Diffusion Models. CoRR Hadas Orgad, Bahjat Kawar, Yonatan Belinkov
2023	A*	`conf`	Emergent Quantized Communication. AAAI Boaz Carmeli, Ron Meir, Yonatan Belinkov
2023	—	`conf`	FigureOut - Automatic Detection of Metaphors in Hebrew Across the Eras. DH Ophir Münz-Manor, Michael Toker, Oren Mishali, Benny Kimelfeld, Yonatan Belinkov, Adir Cohen
2023	J	`jnl`	Generating Benchmarks for Factuality Evaluation of Language Models. CoRR Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
2023	J	`jnl`	Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. CoRR Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov
2023	J	`jnl`	Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT. CoRR Shahar Katz, Yonatan Belinkov
2023	J	`jnl`	Linearity of Relation Decoding in Transformer Language Models. CoRR Evan Hernandez, Arnab Sen Sharma, Tal Haklay, Kevin Meng, Martin Wattenberg, Jacob Andreas, Yonatan Belinkov, David Bau
2023	A*	`conf`	Mass-Editing Memory in a Transformer. ICLR Kevin Meng, Arnab Sen Sharma, Alex J. Andonian, Yonatan Belinkov, David Bau
2023	A*	`conf`	Multiple sequence alignment as a sequence-to-sequence learning problem. ICLR Edo Dotan, Yonatan Belinkov, Oren Avram, Elya Wygoda, Noa Ecker, Michael Alburquerque, Omri Keren, Gil Loewenthal, Tal Pupko
2023	—	`conf`	Parallel Context Windows for Large Language Models. ACL (1) Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2023	—	`ed.`	Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2023, Singapore, December 7, 2023 BlackboxNLP@EMNLP Yonatan Belinkov, Sophie Hao, Jaap Jumelet, Najoung Kim, Arya McCarthy, Hosein Mohebbi
2023	J	`jnl`	ReFACT: Updating Text-to-Image Models by Editing the Text Encoder. CoRR Dana Arad, Hadas Orgad, Yonatan Belinkov
2023	—	`conf`	Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. ACL (Findings) Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2023	J	`jnl`	Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection. CoRR Shadi Iskander, Kira Radinsky, Yonatan Belinkov
2023	J	`jnl`	Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis. CoRR Alessandro Stolfo, Yonatan Belinkov, Mrinmaya Sachan
2023	J	`jnl`	Unified Concept Editing in Diffusion Models. CoRR Rohit Gandikota, Hadas Orgad, Yonatan Belinkov, Joanna Materzynska, David Bau
2023	—	`conf`	VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers. EMNLP (Findings) Shahar Katz, Yonatan Belinkov
2023	—	`conf`	What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. ACL (1) Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
2023	A*	`conf`	When Language Models Fall in Love: Animacy Processing in Transformer Language Models. EMNLP Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
2023	J	`jnl`	When Language Models Fall in Love: Animacy Processing in Transformer Language Models. CoRR Michael Hanna, Yonatan Belinkov, Sandro Pezzelle
2022	—	`conf`	A Generative Approach for Mitigating Structural Biases in Natural Language Inference. *SEM@NAACL-HLT Dimion Asael, Zachary M. Ziegler, Yonatan Belinkov
2022	A*	`conf`	A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference. EMNLP Kerem Zaman, Yonatan Belinkov
2022	J	`jnl`	A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference. CoRR Kerem Zaman, Yonatan Belinkov
2022	J	`jnl`	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR 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 W. 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
2022	J	`jnl`	Choose Your Lenses: Flaws in Gender Bias Evaluation. CoRR Hadas Orgad, Yonatan Belinkov
2022	J	`jnl`	Debiasing NLP Models Without Demographic Information. CoRR Hadas Orgad, Yonatan Belinkov
2022	J	`jnl`	Emergent Quantized Communication. CoRR Boaz Carmeli, Ron Meir, Yonatan Belinkov
2022	—	`conf`	How Gender Debiasing Affects Internal Model Representations, and Why It Matters. NAACL-HLT Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
2022	J	`jnl`	How Gender Debiasing Affects Internal Model Representations, and Why It Matters. CoRR Hadas Orgad, Seraphina Goldfarb-Tarrant, Yonatan Belinkov
2022	J	`jnl`	IDANI: Inference-time Domain Adaptation via Neuron-level Interventions. CoRR Omer Antverg, Eyal Ben-David, Yonatan Belinkov
2022	A*	`conf`	Locating and Editing Factual Associations in GPT. NeurIPS Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov
2022	J	`jnl`	Locating and Editing Factual Knowledge in GPT. CoRR Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov
2022	J	`jnl`	MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR 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
2022	J	`jnl`	Mass-Editing Memory in a Transformer. CoRR Kevin Meng, Arnab Sen Sharma, Alex Andonian, Yonatan Belinkov, David Bau
2022	A*	`conf`	Measures of Information Reflect Memorization Patterns. NeurIPS Rachit Bansal, Danish Pruthi, Yonatan Belinkov
2022	J	`jnl`	Measures of Information Reflect Memorization Patterns. CoRR Rachit Bansal, Danish Pruthi, Yonatan Belinkov
2022	J	`jnl`	Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
2022	A*	`conf`	On the Pitfalls of Analyzing Individual Neurons in Language Models. ICLR Omer Antverg, Yonatan Belinkov
2022	J	`jnl`	Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
2022	J	`jnl`	Probing Classifiers: Promises, Shortcomings, and Advances. Comput. Linguistics Yonatan Belinkov
2022	—	`ed.`	Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2022, Abu Dhabi, United Arab Emirates (Hybrid), December 8, 2022 BlackboxNLP@EMNLP Jasmijn Bastings, Yonatan Belinkov, Yanai Elazar, Dieuwke Hupkes, Naomi Saphra, Sarah Wiegreffe
2022	A*	`conf`	Supervising Model Attention with Human Explanations for Robust Natural Language Inference. AAAI Joe Stacey, Yonatan Belinkov, Marek Rei
2022	J	`jnl`	What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary. CoRR Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant, Amir Globerson
2021	J	`jnl`	A Generative Approach for Mitigating Structural Biases in Natural Language Inference. CoRR Dimion Asael, Zachary M. Ziegler, Yonatan Belinkov
2021	—	`conf`	Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. ACL/IJCNLP (1) Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
2021	J	`jnl`	Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov
2021	—	`conf`	Debiasing Methods in Natural Language Understanding Make Bias More Accessible. EMNLP (1) Michael Mendelson, Yonatan Belinkov
2021	J	`jnl`	Debiasing Methods in Natural Language Understanding Make Bias More Accessible. CoRR Michael Mendelson, Yonatan Belinkov
2021	A*	`conf`	IRM - when it works and when it doesn't: A test case of natural language inference. NeurIPS Yana Dranker, He He, Yonatan Belinkov
2021	A*	`conf`	Learning from others' mistakes: Avoiding dataset biases without modeling them. ICLR Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2021	J	`jnl`	Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention. CoRR Joe Stacey, Yonatan Belinkov, Marek Rei
2021	J	`jnl`	On the Pitfalls of Analyzing Individual Neurons in Language Models. CoRR Omer Antverg, Yonatan Belinkov
2021	J	`jnl`	Probing Classifiers: Promises, Shortcomings, and Alternatives. CoRR Yonatan Belinkov
2021	A	`conf`	Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy
2021	—	`ed.`	Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2021, Punta Cana, Dominican Republic, November 11, 2021 BlackboxNLP@EMNLP Jasmijn Bastings, Yonatan Belinkov, Emmanuel Dupoux, Mario Giulianelli, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad
2021	Misc	`conf`	Similarity Analysis of Self-Supervised Speech Representations. ICASSP Yu-An Chung, Yonatan Belinkov, James R. Glass
2021	A*	`conf`	Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. ICLR Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2021	J	`jnl`	Variational Information Bottleneck for Effective Low-Resource Fine-Tuning. CoRR Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2020	A*	`conf`	A Constructive Prediction of the Generalization Error Across Scales. ICLR Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
2020	—	`conf`	Analyzing Individual Neurons in Pre-trained Language Models. EMNLP (1) Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov
2020	J	`jnl`	Analyzing Individual Neurons in Pre-trained Language Models. CoRR Nadir Durrani, Hassan Sajjad, Fahim Dalvi, Yonatan Belinkov
2020	—	`conf`	Analyzing Redundancy in Pretrained Transformer Models. EMNLP (1) Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov
2020	J	`jnl`	Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias. CoRR Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
2020	A*	`conf`	End-to-End Bias Mitigation by Modelling Biases in Corpora. ACL Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson
2020	J	`jnl`	Exploiting Redundancy in Pre-trained Language Models for Efficient Transfer Learning. CoRR Fahim Dalvi, Hassan Sajjad, Nadir Durrani, Yonatan Belinkov
2020	—	`conf`	Findings of the WMT 2020 Shared Task on Machine Translation Robustness. WMT@EMNLP 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
2020	—	`conf`	Interpretability and Analysis in Neural NLP. ACL (tutorial) Yonatan Belinkov, Sebastian Gehrmann, Ellie Pavlick
2020	A*	`conf`	Investigating Gender Bias in Language Models Using Causal Mediation Analysis. NeurIPS Jesse Vig, Sebastian Gehrmann, Yonatan Belinkov, Sharon Qian, Daniel Nevo, Yaron Singer, Stuart M. Shieber
2020	J	`jnl`	Learning from others' mistakes: Avoiding dataset biases without modeling them. CoRR Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
2020	J	`jnl`	On the Linguistic Representational Power of Neural Machine Translation Models. Comput. Linguistics Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass
2020	J	`jnl`	Probing Neural Dialog Models for Conversational Understanding. CoRR Abdelrhman Saleh, Tovly Deutsch, Stephen Casper, Yonatan Belinkov, Stuart M. Shieber
2020	J	`jnl`	Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? CoRR Abhilasha Ravichander, Yonatan Belinkov, Eduard H. Hovy
2020	—	`ed.`	Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@EMNLP 2020, Online, November 2020 BlackboxNLP@EMNLP Afra Alishahi, Yonatan Belinkov, Grzegorz Chrupala, Dieuwke Hupkes, Yuval Pinter, Hassan Sajjad
2020	A*	`conf`	Similarity Analysis of Contextual Word Representation Models. ACL John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2020	J	`jnl`	Similarity Analysis of Contextual Word Representation Models. CoRR John M. Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2020	J	`jnl`	Similarity Analysis of Self-Supervised Speech Representations. CoRR Yu-An Chung, Yonatan Belinkov, James R. Glass
2020	A*	`conf`	The Sensitivity of Language Models and Humans to Winograd Schema Perturbations. ACL Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott, Anders Søgaard
2020	J	`jnl`	The Sensitivity of Language Models and Humans to Winograd Schema Perturbations. CoRR Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott, Anders Søgaard
2019	J	`jnl`	A Constructive Prediction of the Generalization Error Across Scales. CoRR Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
2019	J	`jnl`	Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects. CoRR Gabriel Grand, Yonatan Belinkov
2019	—	`conf`	Analysis Methods in Neural Language Processing: A Survey. NAACL-HLT (1) Yonatan Belinkov, James R. Glass
2019	J	`jnl`	Analysis Methods in Neural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics Yonatan Belinkov, James R. Glass
2019	A	`conf`	Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition. INTERSPEECH Yonatan Belinkov, Ahmed Ali, James R. Glass
2019	J	`jnl`	Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition. CoRR Yonatan Belinkov, Ahmed Ali, James R. Glass
2019	—	`conf`	Analyzing the Structure of Attention in a Transformer Language Model. BlackboxNLP@ACL Jesse Vig, Yonatan Belinkov
2019	J	`jnl`	Analyzing the Structure of Attention in a Transformer Language Model. CoRR Jesse Vig, Yonatan Belinkov
2019	J	`jnl`	Character-based Surprisal as a Model of Human Reading in the Presence of Errors. CoRR Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov
2019	B	`conf`	Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors. CogSci Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov
2019	—	`conf`	Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. ACL (1) Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference. CoRR Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	—	`conf`	Findings of the First Shared Task on Machine Translation Robustness. WMT (2) Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	J	`jnl`	Findings of the First Shared Task on Machine Translation Robustness. CoRR Xian Li, Paul Michel, Antonios Anastasopoulos, Yonatan Belinkov, Nadir Durrani, Orhan Firat, Philipp Koehn, Graham Neubig, Juan Miguel Pino, Hassan Sajjad
2019	—	`conf`	Identifying and Controlling Important Neurons in Neural Machine Translation. ICLR (Poster) Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2019	—	`conf`	Improving Neural Language Models by Segmenting, Attending, and Predicting the Future. ACL (1) Hongyin Luo, Lan Jiang, Yonatan Belinkov, James R. Glass
2019	J	`jnl`	Improving Neural Language Models by Segmenting, Attending, and Predicting the Future. CoRR Hongyin Luo, Lan Jiang, Yonatan Belinkov, James R. Glass
2019	J	`jnl`	LSTM Networks Can Perform Dynamic Counting. CoRR Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
2019	J	`jnl`	Language processing and learning models for community question answering in Arabic. Inf. Process. Manag. Salvatore Romeo, Giovanni Da San Martino, Yonatan Belinkov, Alberto Barrón-Cedeño, Mohamed Eldesouki, Kareem Darwish, Hamdy Mubarak, James R. Glass, Alessandro Moschitti
2019	—	`conf`	Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Linguistic Knowledge and Transferability of Contextual Representations. CoRR Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Memory-Augmented Recurrent Neural Networks Can Learn Generalized Dyck Languages. CoRR Mirac Suzgun, Sebastian Gehrmann, Yonatan Belinkov, Stuart M. Shieber
2019	A*	`conf`	NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. AAAI Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass
2019	—	`conf`	On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. *SEM@NAACL-HLT Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference. CoRR Yonatan Belinkov, Adam Poliak, Stuart M. Shieber, Benjamin Van Durme, Alexander M. Rush
2019	J	`jnl`	On the Linguistic Representational Power of Neural Machine Translation Models. CoRR Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass
2019	—	`conf`	One Size Does Not Fit All: Comparing NMT Representations of Different Granularities. NAACL-HLT (1) Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov
2019	—	`ed.`	Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@ACL 2019, Florence, Italy, August 1, 2019 BlackboxNLP@ACL Tal Linzen, Grzegorz Chrupala, Yonatan Belinkov, Dieuwke Hupkes
2019	J	`jnl`	Studying the history of the Arabic language: language technology and a large-scale historical corpus. Lang. Resour. Evaluation Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño, Avi Shmidman, Maxim Romanov
2019	A*	`conf`	What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. AAAI Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass
2018	J	`jnl`	Analysis Methods in Neural Language Processing: A Survey. CoRR Yonatan Belinkov, James R. Glass
2018	J	`jnl`	Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. CoRR Yonatan Belinkov, Lluís Màrquez, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2018	J	`jnl`	Identifying and Controlling Important Neurons in Neural Machine Translation. CoRR Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2018	J	`jnl`	NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks. CoRR Fahim Dalvi, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, James R. Glass
2018	J	`jnl`	On Evaluating the Generalization of LSTM Models in Formal Languages. CoRR Mirac Suzgun, Yonatan Belinkov, Stuart M. Shieber
2018	—	`—`	On internal language representations in deep learning: an analysis of machine translation and speech recognition. Yonatan Belinkov
2018	—	`conf`	On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. NAACL-HLT (2) Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme
2018	J	`jnl`	On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference. CoRR Adam Poliak, Yonatan Belinkov, James R. Glass, Benjamin Van Durme
2018	J	`jnl`	Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus. CoRR Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño, Avi Shmidman, Maxim Romanov
2018	—	`conf`	Synthetic and Natural Noise Both Break Neural Machine Translation. ICLR Yonatan Belinkov, Yonatan Bisk
2018	J	`jnl`	What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models. CoRR Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Anthony Bau, James R. Glass
2017	J	`jnl`	Analysis of sentence embedding models using prediction tasks in natural language processing. IBM J. Res. Dev. Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg
2017	—	`conf`	Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems. NIPS Yonatan Belinkov, James R. Glass
2017	J	`jnl`	Analyzing Hidden Representations in End-to-End Automatic Speech Recognition Systems. CoRR Yonatan Belinkov, James R. Glass
2017	—	`conf`	Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. ACL (2) Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov, Stephan Vogel
2017	J	`jnl`	Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging. CoRR Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Ahmed Abdelali, Yonatan Belinkov, Stephan Vogel
2017	—	`conf`	Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks. IJCNLP(1) Yonatan Belinkov, Lluís Màrquez, Hassan Sajjad, Nadir Durrani, Fahim Dalvi, James R. Glass
2017	—	`conf`	Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks. ICLR (Poster) Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg
2017	—	`conf`	Neural Machine Translation Training in a Multi-Domain Scenario. IWSLT Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel
2017	J	`jnl`	Neural Machine Translation Training in a Multi-Domain Scenario. CoRR Hassan Sajjad, Nadir Durrani, Fahim Dalvi, Yonatan Belinkov, Stephan Vogel
2017	A	`conf`	QMDIS: QCRI-MIT Advanced Dialect Identification System. INTERSPEECH Sameer Khurana, Maryam Najafian, Ahmed Ali, Tuka Al Hanai, Yonatan Belinkov, James R. Glass
2017	J	`jnl`	Synthetic and Natural Noise Both Break Neural Machine Translation. CoRR Yonatan Belinkov, Yonatan Bisk
2017	—	`conf`	Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder. IJCNLP(1) Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Yonatan Belinkov, Stephan Vogel
2017	—	`conf`	What do Neural Machine Translation Models Learn about Morphology? ACL (1) Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass
2017	J	`jnl`	What do Neural Machine Translation Models Learn about Morphology? CoRR Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, James R. Glass
2016	—	`conf`	A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects. VarDial@COLING Yonatan Belinkov, James R. Glass
2016	J	`jnl`	A Character-level Convolutional Neural Network for Distinguishing Similar Languages and Dialects. CoRR Yonatan Belinkov, James R. Glass
2016	J	`jnl`	Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks. CoRR Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, Yoav Goldberg
2016	—	`conf`	Improving Sequence to Sequence Learning for Morphological Inflection Generation: The BIU-MIT Systems for the SIGMORPHON 2016 Shared Task for Morphological Reinflection. SIGMORPHON Roee Aharoni, Yoav Goldberg, Yonatan Belinkov
2016	J	`jnl`	Large-Scale Machine Translation between Arabic and Hebrew: Available Corpora and Initial Results. CoRR Yonatan Belinkov, James R. Glass
2016	B	`conf`	Neural Attention for Learning to Rank Questions in Community Question Answering. COLING Salvatore Romeo, Giovanni Da San Martino, Alberto Barrón-Cedeño, Alessandro Moschitti, Yonatan Belinkov, Wei-Ning Hsu, Yu Zhang, Mitra Mohtarami, James R. Glass
2016	—	`conf`	SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering. SemEval@NAACL-HLT Mitra Mohtarami, Yonatan Belinkov, Wei-Ning Hsu, Yu Zhang, Tao Lei, Kfir Bar, Scott Cyphers, James R. Glass
2016	—	`conf`	Shamela: A Large-Scale Historical Arabic Corpus. LT4DH@COLING Yonatan Belinkov, Alexander Magidow, Maxim Romanov, Avi Shmidman, Moshe Koppel
2016	J	`jnl`	Shamela: A Large-Scale Historical Arabic Corpus. CoRR Yonatan Belinkov, Alexander Magidow, Maxim Romanov, Avi Shmidman, Moshe Koppel
2015	—	`conf`	Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach. ANLP@ACL Yonatan Belinkov, Alberto Barrón-Cedeño, Hamdy Mubarak
2015	A*	`conf`	Arabic Diacritization with Recurrent Neural Networks. EMNLP Yonatan Belinkov, James R. Glass
2015	J	`jnl`	Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment". Trans. Assoc. Comput. Linguistics Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2015	—	`conf`	VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems. SemEval@NAACL-HLT Yonatan Belinkov, Mitra Mohtarami, Scott Cyphers, James R. Glass
2014	J	`jnl`	Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment. Trans. Assoc. Comput. Linguistics Yonatan Belinkov, Tao Lei, Regina Barzilay, Amir Globerson
2014	J	`jnl`	arTenTen: Arabic Corpus and Word Sketches. J. King Saud Univ. Comput. Inf. Sci. Tressy Arts, Yonatan Belinkov, Nizar Habash, Adam Kilgarriff, Vit Suchomel
2013	—	`conf`	Translating Dialectal Arabic to English. ACL (2) Hassan Sajjad, Kareem Darwish, Yonatan Belinkov