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- affiliation: New York University, NY, USA
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2020 – today
- 2024
[c58]William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen:
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. ACL (Findings) 2024: 2752-2773- [c57]Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen:
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. NAACL-HLT 2024: 4761-4779 - [c56]Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen:
The Impact of Depth on Compositional Generalization in Transformer Language Models. NAACL-HLT 2024: 7239-7252 - [c55]Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen:
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. NAACL-HLT 2024: 8425-8444 - [i63]William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen:
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. CoRR abs/2402.13956 (2024) - [i62]Grusha Prasad, Tal Linzen:
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser. CoRR abs/2403.07202 (2024) - [i61]Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
[Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024) - [i60]Cara Su-Yi Leong, Tal Linzen:
Testing learning hypotheses using neural networks by manipulating learning data. CoRR abs/2407.04593 (2024) - 2023
- [j9]R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics 11: 652-670 (2023) - [j8]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) - [c54]Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy:
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. ACL (1) 2023: 9370-9393 - [c53]Aaron Mueller, Tal Linzen:
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. ACL (1) 2023: 11237-11252 - [c52]Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim:
SLOG: A Structural Generalization Benchmark for Semantic Parsing. EMNLP 2023: 3213-3232 - [c51]Sophie Hao, Tal Linzen:
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number. EMNLP (Findings) 2023: 4531-4539 - [c50]William Timkey, Tal Linzen:
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing. EMNLP (Findings) 2023: 8705-8720 - [i59]Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy:
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. CoRR abs/2301.11462 (2023) - [i58]Aaron Mueller, Tal Linzen:
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. CoRR abs/2305.19905 (2023) - [i57]Cara Su-Yi Leong, Tal Linzen:
Language Models Can Learn Exceptions to Syntactic Rules. CoRR abs/2306.05969 (2023) - [i56]Matthew Mandelkern, Tal Linzen:
Do Language Models Refer? CoRR abs/2308.05576 (2023) - [i55]Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim:
SLOG: A Structural Generalization Benchmark for Semantic Parsing. CoRR abs/2310.15040 (2023) - [i54]Sophie Hao, Tal Linzen:
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number. CoRR abs/2310.15151 (2023) - [i53]William Timkey, Tal Linzen:
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing. CoRR abs/2310.16142 (2023) - [i52]Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen:
The Impact of Depth and Width on Transformer Language Model Generalization. CoRR abs/2310.19956 (2023) - [i51]Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen:
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. CoRR abs/2311.00445 (2023) - [i50]Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen:
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. CoRR abs/2311.07811 (2023) - 2022
- [j7]Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark. Trans. Assoc. Comput. Linguistics 10: 1066-1083 (2022) - [c49]Aaron Mueller, Robert Frank
, Tal Linzen, Luheng Wang, Sebastian Schuster:
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. ACL (Findings) 2022: 1352-1368 - [c48]Anastasia Kobzeva, Suhas Arehalli, Tal Linzen, Dave Kush:
LSTMs Can Learn Basic Wh- and Relative Clause Dependencies in Norwegian. CogSci 2022 - [c47]Aaron Mueller, Yu Xia, Tal Linzen:
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoNLL 2022: 95-109 - [c46]William Merrill, Alex Warstadt, Tal Linzen:
Entailment Semantics Can Be Extracted from an Ideal Language Model. CoNLL 2022: 176-193 - [c45]Suhas Arehalli, Brian Dillon, Tal Linzen:
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities. CoNLL 2022: 301-313 - [c44]Kristijan Armeni, Christopher J. Honey, Tal Linzen:
Characterizing Verbatim Short-Term Memory in Neural Language Models. CoNLL 2022: 405-424 - [c43]Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick:
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [c42]Sebastian Schuster, Tal Linzen:
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. NAACL-HLT 2022: 969-982 - [c41]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. NAACL-HLT 2022: 4341-4362 - [i49]Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster:
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. CoRR abs/2203.09397 (2022) - [i48]Sebastian Schuster, Tal Linzen:
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. CoRR abs/2205.03472 (2022) - [i47]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. CoRR abs/2206.04615 (2022) - [i46]William Merrill, Alex Warstadt, Tal Linzen:
Entailment Semantics Can Be Extracted from an Ideal Language Model. CoRR abs/2209.12407 (2022) - [i45]Suhas Arehalli, Brian Dillon, Tal Linzen:
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities. CoRR abs/2210.12187 (2022) - [i44]Kristijan Armeni, Christopher J. Honey, Tal Linzen:
Characterizing Verbatim Short-Term Memory in Neural Language Models. CoRR abs/2210.13569 (2022) - [i43]Aaron Mueller, Yu Xia, Tal Linzen:
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. CoRR abs/2210.14328 (2022) - [i42]Najoung Kim, Tal Linzen, Paul Smolensky:
Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models. CoRR abs/2212.10769 (2022) - 2021
- [j6]Marten van Schijndel, Tal Linzen:
Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty. Cogn. Sci. 45(6) (2021) - [c40]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: 1828-1843 - [c39]Laura Aina, Tal Linzen:
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation. BlackboxNLP@EMNLP 2021: 42-57 - [c38]Shauli Ravfogel, Grusha Prasad, Tal Linzen, Yoav Goldberg:
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction. CoNLL 2021: 194-209 - [c37]Alicia Parrish, Sebastian Schuster, Alex Warstadt, Omar Agha, Soo-Hwan Lee, Zhuoye Zhao, Samuel R. Bowman, Tal Linzen:
NOPE: A Corpus of Naturally-Occurring Presuppositions in English. CoNLL 2021: 349-366 - [c36]Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. EMNLP (1) 2021: 932-948 - [c35]Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman:
Does Putting a Linguist in the Loop Improve NLU Data Collection? EMNLP (Findings) 2021: 4886-4901 - [c34]Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick:
Predicting Inductive Biases of Pre-Trained Models. ICLR 2021 - [i41]Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman:
Does Putting a Linguist in the Loop Improve NLU Data Collection? CoRR abs/2104.07179 (2021) - [i40]Nouha Dziri, Hannah Rashkin, Tal Linzen, David Reitter:
Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark. CoRR abs/2105.00071 (2021) - [i39]Shauli Ravfogel, Grusha Prasad, Tal Linzen, Yoav Goldberg:
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction. CoRR abs/2105.06965 (2021) - [i38]Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov:
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. CoRR abs/2106.06087 (2021) - [i37]Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - [i36]Alicia Parrish, Sebastian Schuster, Alex Warstadt, Omar Agha, Soo-Hwan Lee, Zhuoye Zhao, Samuel R. Bowman, Tal Linzen:
NOPE: A Corpus of Naturally-Occurring Presuppositions in English. CoRR abs/2109.06987 (2021) - [i35]Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick:
Frequency Effects on Syntactic Rule Learning in Transformers. CoRR abs/2109.07020 (2021) - [i34]Laura Aina, Tal Linzen:
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation. CoRR abs/2109.07848 (2021) - [i33]Wang Zhu, Peter Shaw, Tal Linzen, Fei Sha:
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks. CoRR abs/2111.05013 (2021) - [i32]R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. CoRR abs/2111.09509 (2021) - [i31]Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova:
Improving Compositional Generalization with Latent Structure and Data Augmentation. CoRR abs/2112.07610 (2021) - 2020
- [j5]R. Thomas McCoy, Robert Frank, Tal Linzen:
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks. Trans. Assoc. Comput. Linguistics 8: 125-140 (2020) - [c33]Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen:
Syntactic Data Augmentation Increases Robustness to Inference Heuristics. ACL 2020: 2339-2352 - [c32]Michael A. Lepori, Tal Linzen, R. Thomas McCoy:
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. ACL 2020: 3306-3316 - [c31]Tal Linzen:
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? ACL 2020: 5210-5217 - [c30]Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen:
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. ACL 2020: 5523-5539 - [c29]R. Thomas McCoy, Junghyun Min, Tal Linzen:
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance. BlackboxNLP@EMNLP 2020: 217-227 - [c28]Paul Soulos, R. Thomas McCoy, Tal Linzen, Paul Smolensky:
Discovering the Compositional Structure of Vector Representations with Role Learning Networks. BlackboxNLP@EMNLP 2020: 238-254 - [c27]Suhas Arehalli, Tal Linzen:
Neural Language Models Capture Some, But Not All Agreement Attraction Effects. CogSci 2020 - [c26]Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen:
Universal linguistic inductive biases via meta-learning. CogSci 2020 - [c25]Najoung Kim, Tal Linzen:
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation. EMNLP (1) 2020: 9087-9105 - [e5]Raquel Fernández, Tal Linzen:
Proceedings of the 24th Conference on Computational Natural Language Learning, CoNLL 2020, Online, November 19-20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-63-7 [contents] - [i30]R. Thomas McCoy, Robert Frank, Tal Linzen:
Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks. CoRR abs/2001.03632 (2020) - [i29]Tal Linzen, Marco Baroni:
Syntactic Structure from Deep Learning. CoRR abs/2004.10827 (2020) - [i28]Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen:
Syntactic Data Augmentation Increases Robustness to Inference Heuristics. CoRR abs/2004.11999 (2020) - [i27]Michael A. Lepori, Tal Linzen, R. Thomas McCoy:
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. CoRR abs/2005.00019 (2020) - [i26]Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen:
Cross-Linguistic Syntactic Evaluation of Word Prediction Models. CoRR abs/2005.00187 (2020) - [i25]Tal Linzen:
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? CoRR abs/2005.00955 (2020) - [i24]R. Thomas McCoy, Erin Grant, Paul Smolensky, Thomas L. Griffiths, Tal Linzen:
Universal linguistic inductive biases via meta-learning. CoRR abs/2006.16324 (2020) - [i23]Najoung Kim, Tal Linzen:
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation. CoRR abs/2010.05465 (2020)
2010 – 2019
- 2019
- [j4]Afra Alishahi, Grzegorz Chrupala, Tal Linzen:
Analyzing and interpreting neural networks for NLP: A report on the first BlackboxNLP workshop. Nat. Lang. Eng. 25(4): 543-557 (2019) - [c24]Tom McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. ACL (1) 2019: 3428-3448 - [c23]Brenden M. Lake, Tal Linzen, Marco Baroni:
Human few-shot learning of compositional instructions. CogSci 2019: 611-617 - [c22]Grusha Prasad, Tal Linzen:
How much harder are hard garden-path sentences than easy ones? CogSci 2019: 3339 - [c21]Grusha Prasad, Marten van Schijndel, Tal Linzen:
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. CoNLL 2019: 66-76 - [c20]Marten van Schijndel, Aaron Mueller, Tal Linzen:
Quantity doesn't buy quality syntax with neural language models. EMNLP/IJCNLP (1) 2019: 5830-5836 - [c19]R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky:
RNNs implicitly implement tensor-product representations. ICLR (Poster) 2019 - [c18]Shauli Ravfogel, Yoav Goldberg, Tal Linzen:
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages. NAACL-HLT (1) 2019: 3532-3542 - [c17]Najoung Kim, Roma Patel, Adam Poliak, Patrick Xia, Alex Wang, Tom McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. *SEM@NAACL-HLT 2019: 235-249 - [e4]Tal Linzen, Grzegorz Chrupala, Yonatan Belinkov, Dieuwke Hupkes:
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, BlackboxNLP@ACL 2019, Florence, Italy, August 1, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-30-7 [contents] - [i22]Brenden M. Lake, Tal Linzen, Marco Baroni:
Human few-shot learning of compositional instructions. CoRR abs/1901.04587 (2019) - [i21]R. Thomas McCoy, Ellie Pavlick, Tal Linzen:
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. CoRR abs/1902.01007 (2019) - [i20]Shauli Ravfogel, Yoav Goldberg, Tal Linzen:
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages. CoRR abs/1903.06400 (2019) - [i19]Afra Alishahi, Grzegorz Chrupala, Tal Linzen:
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop. CoRR abs/1904.04063 (2019) - [i18]Najoung Kim, Roma Patel, Adam Poliak, Alex Wang, Patrick Xia, R. Thomas McCoy, Ian Tenney, Alexis Ross, Tal Linzen, Benjamin Van Durme, Samuel R. Bowman, Ellie Pavlick:
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension. CoRR abs/1904.11544 (2019) - [i17]Marten van Schijndel, Aaron Mueller, Tal Linzen:
Quantity doesn't buy quality syntax with neural language models. CoRR abs/1909.00111 (2019) - [i16]Grusha Prasad, Marten van Schijndel, Tal Linzen:
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. CoRR abs/1909.10579 (2019) - [i15]Paul Soulos, Tom McCoy, Tal Linzen, Paul Smolensky:
Discovering the Compositional Structure of Vector Representations with Role Learning Networks. CoRR abs/1910.09113 (2019) - [i14]