Scholar
Byung-Doh Oh
Google Scholar ID: 61AeLAEAAAAJ
New York University
Citations & Impact
Citations
473
H-index
8
i10-index
8
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published in Journal of Memory and Language (2025): 'Dissociable frequency effects attenuate as large language model surprisal predictors improve'.
- Published at EACL 2024: 'Frequency explains the inverse correlation of large language models’ size, training data amount, and surprisal’s fit to reading times'.
- Published at ACL 2023: 'Token-wise decomposition of autoregressive language model hidden states for analyzing model predictions'.
- Published in TACL 2023: 'Why does surprisal from larger Transformer-based language models provide a poorer fit to human reading times?'.
- Published at EMNLP 2022: 'Entropy- and distance-based predictors from GPT-2 attention patterns predict reading times over and above GPT-2 surprisal'.
Co-authors