🔗 Who cites «How to Compute the Probability of a Word»

36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «How to Compute the Probability of a Word»

1. On the Proper Treatment of Tokenization in PsycholinguisticsConference on Empirical Methods in Natural Language Processing (EMNLP)Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, et al.2024 · 23 citations
2. The Impact of Token Granularity on the Predictive Power of Language Model SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Byung-Doh Oh, William Schuler2025 · 12 citations
3. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
4. Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model EnsemblesarXiv:2410.09303Buu Phan, Brandon Amos, Itai Gat, et al.2024 · 8 citations
5. Tokenisation is NP-CompleteAnnual Meeting of the Association for Computational Linguistics (ACL)Philip Whittington, Gregor Bachmann, Tiago Pimentel2025 · 4 citations
6. An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Ryo Yoshida, Shinnosuke Isono, Taiga Someya, et al.2026 · 1 citation
7. Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Sathvik Nair, Byung-Doh Oh2026 · 1 citation
8. Probing for Reading TimesAnnual Meeting of the Association for Computational Linguistics (ACL)Eleftheria Tsipidi, Samuel Kiegeland, Francesco Ignazio Re, et al.2026 · 1 citation
9. Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic DatasetsConference of the European Chapter of the Association for Computational Linguistics (EACL)Omar Momen, Emilie Sitter, Berenike Herrmann, et al.2026 · 1 citation
10. Surprisal Dynamics for the Detection of Multi-Word Expressions in EnglishFindings of the Association for Computational LinguisticsDiego Alves, Sergei Bagdasarov, Elke Teich2025 · 1 citation
11. The Frequency Confound in Language-Model Surprisal and Metaphor NoveltyJoint Conference on Lexical and Computational Semantics (*SEM)Omar Momen, Sina Zarrieß2026
12. Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Mooney, Edmond S. L. Ho2026
13. Word predictability estimates from language models are not robust to tokenizer vocabularyConference on Computational Natural Language Learning (CoNLL)Kien Nguyen, Suhas Arehalli2026
14. Word Surprisal Correlates with Sentential Contradiction in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ning Shi, Bradley Hauer, David Basil, et al.2026
15. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025

21 more papers of our library cite it; they have no page here yet.

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