Tal Linzen

Tal Linzen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tal Linzen sits on this spectrum.

Tal Linzen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tal Linzen sits on this spectrum.

Best Publications

• Right for the wrong reasons: Diagnosing syntactic heuristics in natural language inference

  R. Thomas McCoy;Ellie Pavlick;Tal Linzen

  1039
  Citations

• Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

  Tal Linzen;Emmanuel Dupoux;Yoav Goldberg

  840
  Citations

• Targeted Syntactic Evaluation of Language Models

  Rebecca Marvin;Tal Linzen

  407
  Citations

• In Spoken Word Recognition, the Future Predicts the Past.

  Laura Gwilliams;Tal Linzen;David Poeppel;Alec Marantz;Alec Marantz

  195
  Citations

• COGS: A compositional generalization challenge based on semantic interpretation

  Najoung Kim;Tal Linzen

  167
  Citations

• Syntactic Data Augmentation Increases Robustness to Inference Heuristics

  Junghyun Min;R. Thomas McCoy;Dipanjan Das;Emily Pitler

  166
  Citations

• Uncertainty and Expectation in Sentence Processing: Evidence From Subcategorization Distributions

  Tal Linzen;T. Florian Jaeger

  141
  Citations

• BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance

  R. Thomas McCoy;Junghyun Min;Tal Linzen

  123
  Citations

• Probing What Different NLP Tasks Teach Machines about Function Word Comprehension

  Najoung Kim;Roma Patel;Adam Poliak;Patrick Xia

  106
  Citations

• Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

  R. Thomas McCoy;Ellie Pavlick;Tal Linzen

  93
  Citations

• Quantity doesn't buy quality syntax with neural language models

  Marten van Schijndel;Aaron Mueller;Tal Linzen

  85
  Citations

• The role of morphology in phoneme prediction: evidence from MEG.

  Allyson Ettinger;Allyson Ettinger;Tal Linzen;Alec Marantz

  77
  Citations

• Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks.

  R. Thomas McCoy;Robert Frank;Tal Linzen

  76
  Citations

• Improving Compositional Generalization with Latent Structure and Data Augmentation

  Unknown

  74
  Citations

• Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

  Unknown

  65
  Citations

• Studying the inductive biases of RNNs with synthetic variations of natural languages

  Shauli Ravfogel;Yoav Goldberg;Yoav Goldberg;Tal Linzen

  61
  Citations

• In spoken word recognition the future predicts the past

  Laura Gwilliams;Tal Linzen;David Poeppel;Alec Marantz

  57
  Citations

• Modeling garden path effects without explicit hierarchical syntax.

  Marten van Schijndel;Tal Linzen

  55
  Citations

• Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty.

  Marten van Schijndel;Tal Linzen

  54
  Citations

• The reliability of acceptability judgments across languages

  Tal Linzen;Yohei Oseki

  53
  Citations