| 2026 | ACL | Language Models Struggle to Use Representations Learned In-Context. | Michael A. Lepori, Tal Linzen, Ann Yuan, Katja Filippova |
| 2025 | ACL | Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases. | Michael Y. Hu, Jackson Petty, Chuan Shi, William Merrill, Tal Linzen |
| 2025 | EMNLP | Rapid Word Learning Through Meta In-Context Learning. | Wentao Wang, Guangyuan Jiang, Tal Linzen, Brenden M. Lake |
| 2025 | EMNLP | Multilingual Prompting for Improving LLM Generation Diversity. | Qihan Wang, Shidong Pan, Tal Linzen, Emily Black |
| 2025 | NAACL | What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length. | Lindia Tjuatja, Graham Neubig, Tal Linzen, Sophie Hao |
| 2024 | ACL | Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment. | William Merrill, Zhaofeng Wu, Norihito Naka, Yoon Kim, Tal Linzen |
| 2024 | CogSci | Insights from the first BabyLM Challenge: Training sample-efficient language models on a developmentally plausible corpus. | Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Gotlieb Wilcox, Chengxu Zhuang, Adina Williams, Ryan Cotterell, Tal Linzen |
| 2024 | NAACL | A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. | Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen |
| 2024 | NAACL | In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax. | Aaron Mueller, Albert Webson, Jackson Petty, Tal Linzen |
| 2024 | NAACL | The Impact of Depth on Compositional Generalization in Transformer Language Models. | Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen |
| 2023 | ACL | How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases. | Aaron Mueller, Tal Linzen |
| 2023 | ACL | How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech. | Aditya Yedetore, Tal Linzen, Robert Frank, R. Thomas McCoy |
| 2023 | EMNLP | Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number. | Sophie Hao, Tal Linzen |
| 2023 | EMNLP | SLOG: A Structural Generalization Benchmark for Semantic Parsing. | Bingzhi Li, Lucia Donatelli, Alexander Koller, Tal Linzen, Yuekun Yao, Najoung Kim |
| 2023 | EMNLP | A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing. | William Timkey, Tal Linzen |
| 2022 | ACL | Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models. | Aaron Mueller, Robert Frank, Tal Linzen, Luheng Wang, Sebastian Schuster |
| 2022 | CogSci | LSTMs Can Learn Basic Wh- and Relative Clause Dependencies in Norwegian. | Anastasia Kobzeva, Suhas Arehalli, Tal Linzen, Dave Kush |
| 2022 | CoNLL | Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities. | Suhas Arehalli, Brian Dillon, Tal Linzen |
| 2022 | CoNLL | Characterizing Verbatim Short-Term Memory in Neural Language Models. | Kristijan Armeni, Christopher J. Honey, Tal Linzen |
| 2022 | CoNLL | Entailment Semantics Can Be Extracted from an Ideal Language Model. | William Merrill, Alex Warstadt, Tal Linzen |
| 2022 | CoNLL | Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models. | Aaron Mueller, Yu Xia, Tal Linzen |
| 2022 | ICLR | The MultiBERTs: BERT Reproductions for Robustness Analysis. | 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 |
| 2022 | NAACL | Improving Compositional Generalization with Latent Structure and Data Augmentation. | Linlu Qiu, Peter Shaw, Panupong Pasupat, Pawel Krzysztof Nowak, Tal Linzen, Fei Sha, Kristina Toutanova |
| 2022 | NAACL | When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. | Sebastian Schuster, Tal Linzen |
| 2021 | ACL | Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models. | Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart M. Shieber, Tal Linzen, Yonatan Belinkov |
| 2021 | CoNLL | NOPE: A Corpus of Naturally-Occurring Presuppositions in English. | Alicia Parrish, Sebastian Schuster, Alex Warstadt, Omar Agha, Soo-Hwan Lee, Zhuoye Zhao, Samuel R. Bowman, Tal Linzen |
| 2021 | CoNLL | Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction. | Shauli Ravfogel, Grusha Prasad, Tal Linzen, Yoav Goldberg |
| 2021 | EMNLP | Does Putting a Linguist in the Loop Improve NLU Data Collection? | Alicia Parrish, William Huang, Omar Agha, Soo-Hwan Lee, Nikita Nangia, Alex Warstadt, Karmanya Aggarwal, Emily Allaway, Tal Linzen, Samuel R. Bowman |
| 2021 | EMNLP | Frequency Effects on Syntactic Rule Learning in Transformers. | Jason Wei, Dan Garrette, Tal Linzen, Ellie Pavlick |
| 2021 | ICLR | Predicting Inductive Biases of Pre-Trained Models. | Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick |
| 2020 | ACL | Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs. | Michael A. Lepori, Tal Linzen, R. Thomas McCoy |
| 2020 | ACL | How Can We Accelerate Progress Towards Human-like Linguistic Generalization? | Tal Linzen |
| 2020 | ACL | Syntactic Data Augmentation Increases Robustness to Inference Heuristics. | Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler, Tal Linzen |
| 2020 | ACL | Cross-Linguistic Syntactic Evaluation of Word Prediction Models. | Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina, Tal Linzen |
| 2020 | CogSci | Neural Language Models Capture Some, But Not All Agreement Attraction Effects. | Suhas Arehalli, Tal Linzen |
| 2020 | CogSci | Universal linguistic inductive biases via meta-learning. | Richard Thomas McCoy, Erin Grant, Paul Smolensky, Tom Griffiths, Tal Linzen |
| 2020 | EMNLP | COGS: A Compositional Generalization Challenge Based on Semantic Interpretation. | Najoung Kim, Tal Linzen |
| 2019 | ACL | Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference. | Tom McCoy, Ellie Pavlick, Tal Linzen |
| 2019 | CogSci | Human few-shot learning of compositional instructions. | Brenden M. Lake, Tal Linzen, Marco Baroni |
| 2019 | CogSci | How much harder are hard garden-path sentences than easy ones? | Grusha Prasad, Tal Linzen |
| 2019 | CoNLL | Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models. | Grusha Prasad, Marten van Schijndel, Tal Linzen |
| 2019 | EMNLP | Quantity doesn't buy quality syntax with neural language models. | Marten van Schijndel, Aaron Mueller, Tal Linzen |
| 2019 | ICLR | RNNs implicitly implement tensor-product representations. | R. Thomas McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky |
| 2019 | NAACL | Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages. | Shauli Ravfogel, Yoav Goldberg, Tal Linzen |
| 2018 | CogSci | Distinct patterns of syntactic agreement errors in recurrent networks and humans. | Tal Linzen, Brian Leonard |
| 2018 | CogSci | Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks. | Richard Thomas McCoy, Robert Frank, Tal Linzen |
| 2018 | CogSci | Modeling garden path effects without explicit hierarchical syntax. | Marten van Schijndel, Tal Linzen |
| 2018 | EMNLP | Targeted Syntactic Evaluation of Language Models. | Rebecca Marvin, Tal Linzen |
| 2018 | EMNLP | A Neural Model of Adaptation in Reading. | Marten van Schijndel, Tal Linzen |
| 2018 | NAACL | Colorless Green Recurrent Networks Dream Hierarchically. | Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, Marco Baroni |
| 2017 | CogSci | Prediction and uncertainty in an artificial language. | Tal Linzen, Noam Siegelman, Louisa Bogaerts |
| 2017 | CoNLL | Exploring the Syntactic Abilities of RNNs with Multi-task Learning. | mile Enguehard, Yoav Goldberg, Tal Linzen |
| 2017 | EACL | Comparing Character-level Neural Language Models Using a Lexical Decision Task. | Gal Le Godais, Tal Linzen, Emmanuel Dupoux |
| 2015 | EMNLP | A model of rapid phonotactic generalization. | Tal Linzen, Timothy J. O'Donnell |
| 2014 | CogSci | The timecourse of phonotactic learning. | Tal Linzen, Gillian Gallagher |