Tal Linzen
Scholar

Tal Linzen

Google Scholar ID: 5mJDXjoAAAAJ
New York University
Language modelsComputational linguisticsNatural language processingCognitive science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
10,934
 
H-index
46
 
i10-index
89
 
Publications
20
 
Co-authors
45
list available
Contact
Emaillinzen@nyu.eduCVOpen ↗GitHubOpen ↗
Publications
20 items
Can LLMs Introspect? A Reality Check
2026
Cited
0
Simulating Human Memory with Language Models
2026
Cited
0
Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis
2026
Cited
0
Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time
2026
Cited
0
Evaluating In-Context Translation with Synchronous Context-Free Grammar Transduction
2026
Cited
0
BabyLM Turns 4: Call for Papers for the 2026 BabyLM Workshop
2026
Cited
0
Deconstructing sentence disambiguation by joint latent modeling of reading paradigms: LLM surprisal is not enough
2026
Cited
0
Language Models Struggle to Use Representations Learned In-Context
2026
Cited
0
Resume (English only)
Background
  • Associate Professor of Linguistics and Data Science at New York University
  • Research Scientist at Google
  • Directs the Computation and Psycholinguistics Lab at NYU
  • Research focuses on behavioral experiments and computational methods to study human language learning and comprehension
  • Works on large language model post-training, evaluation, and interpretability at both Google and NYU
Co-authors
45 total
R. Thomas McCoy
R. Thomas McCoy
Assistant Professor of Linguistics, Yale University
Aaron Mueller
Aaron Mueller
Boston University
Ellie Pavlick
Ellie Pavlick
Brown University
Alex Warstadt
Alex Warstadt
Assistant Professor, UC San Diego
Yoav Goldberg
Yoav Goldberg
Professor, Bar Ilan University. Research Director, AI2-Israel
Co-author 6
Co-author 6
Marten van Schijndel
Marten van Schijndel
Cornell University
Marco Baroni
Marco Baroni
ICREA Professor (Barcelona)