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Tal Linzen

63 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (80) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (14) πŸ”¬ Deep Specialist (17) 🧬 Topic Evolution πŸ† Keyword Champion (3) ⚑ Prolific Year (7) ❓ The Questioner (5) πŸ—ƒοΈ Keyword Collector (219) πŸ’Ž Century Club (63) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter

Conferences

EMNLP (25) ACL (12) CONLL (11) NAACL (9) ICLR (3) IJCNLP (2) EACL (1)

Top co-authors

Aaron Mueller (14) Alex Warstadt (8) R. Thomas McCoy (7) Grusha Prasad (5) Yoav Goldberg (4) William Merrill (4) Marten van Schijndel (4) Leshem Choshen (4) Ryan Cotterell (4) Ellie Pavlick (4)

Keywords

language model (22) natural language inference (9) subject-verb agreement (7) recurrent neural network (7) syntactic structure (5) inductive bia (5) relative clause (5) neural language model (4) pretrained language model (4) syntactic agreement (4) transformer model (4) compositional generalization (4) neural network (4) data augmentation (3) multilingual language model (3) syntactic representation (3) syntactic generalization (3) semantic parsing (3) transformer language model (3) working memory (3)

Papers

Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data EMNLP 2025
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length NAACL 2025
Rapid Word Learning Through Meta In-Context Learning EMNLP 2025
Multilingual Prompting for Improving LLM Generation Diversity EMNLP 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases ACL 2025
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser CONLL 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2024
Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment ACL 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models NAACL 2024
SPAWNing Structural Priming Predictions from a Cognitively Motivated Parser EMNLP 2024
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax NAACL 2024
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases ACL 2023
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2023
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora EMNLP 2023
A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing EMNLP 2023
Verb Conjugation in Transformers Is Determined by Linear Encodings of Subject Number EMNLP 2023
SLOG: A Structural Generalization Benchmark for Semantic Parsing EMNLP 2023
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech ACL 2023
Characterizing Verbatim Short-Term Memory in Neural Language Models EMNLP 2022
Improving Compositional Generalization with Latent Structure and Data Augmentation NAACL 2022
Coloring the Blank Slate: Pre-training Imparts a Hierarchical Inductive Bias to Sequence-to-sequence Models ACL 2022
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models EMNLP 2022
Entailment Semantics Can Be Extracted from an Ideal Language Model EMNLP 2022
When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it NAACL 2022
The MultiBERTs: BERT Reproductions for Robustness Analysis ICLR 2022
Causal Analysis of Syntactic Agreement Neurons in Multilingual Language Models CONLL 2022
Entailment Semantics Can Be Extracted from an Ideal Language Model CONLL 2022
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities CONLL 2022
Characterizing Verbatim Short-Term Memory in Neural Language Models CONLL 2022
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities EMNLP 2022
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction CONLL 2021
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL 2021
NOPE: A Corpus of Naturally-Occurring Presuppositions in English CONLL 2021
Frequency Effects on Syntactic Rule Learning in Transformers EMNLP 2021
Does Putting a Linguist in the Loop Improve NLU Data Collection? EMNLP 2021
The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through Generation EMNLP 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction EMNLP 2021
NOPE: A Corpus of Naturally-Occurring Presuppositions in English EMNLP 2021
Predicting Inductive Biases of Pre-Trained Models ICLR 2021
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models IJCNLP 2021
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation EMNLP 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020
Cross-Linguistic Syntactic Evaluation of Word Prediction Models ACL 2020
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? ACL 2020
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs ACL 2020
Discovering the Compositional Structure of Vector Representations with Role Learning Networks EMNLP 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL 2019
RNNs implicitly implement tensor-product representations ICLR 2019
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models CONLL 2019
Quantity doesn’t buy quality syntax with neural language models IJCNLP 2019
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP ACL 2019
Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages NAACL 2019
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics NAACL 2019
Quantity doesn’t buy quality syntax with neural language models EMNLP 2019
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP EMNLP 2018
A Neural Model of Adaptation in Reading EMNLP 2018
Colorless Green Recurrent Networks Dream Hierarchically NAACL 2018
Targeted Syntactic Evaluation of Language Models EMNLP 2018
Exploring the Syntactic Abilities of RNNs with Multi-task Learning CONLL 2017
Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017
A model of rapid phonotactic generalization EMNLP 2015