---
title: "Who cites Revisiting the Uniform Information Density Hypothesis"
description: "62 papers of the Elamur Research library cite «Revisiting the Uniform Information Density Hypothesis», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/cited-by/"
---
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# Who cites «Revisiting the Uniform Information Density Hypothesis»

62 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Revisiting the Uniform Information Density Hypothesis»](https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/)

1. **[Testing the Predictions of Surprisal Theory in 11 Languages](https://md.research.elamur.ai/free/en/papers/wilcox-2023-testing-predictions-surprisal-theory-11/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ethan G. Wilcox, Tiago Pimentel, Clara Meister, et al.*2023 · 158 citations*
2. **[Truncation Sampling as Language Model Desmoothing](https://md.research.elamur.ai/free/en/papers/hewitt-2022-truncation-sampling-as-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**John Hewitt, Christopher Manning, Percy Liang*2022 · 92 citations*
3. **[On the Proper Treatment of Tokenization in Psycholinguistics](https://md.research.elamur.ai/free/en/papers/giulianelli-2024-proper-treatment-tokenization-psycholinguistics/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mario Giulianelli, Luca Malagutti, Juan Luis Gastaldi, et al.*2024 · 23 citations*
4. **[Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal](https://md.research.elamur.ai/free/en/papers/nair-2026-clozing-gap-exploring-why-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sathvik Nair, Byung-Doh Oh*2026 · 1 citation*
5. **[Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets](https://md.research.elamur.ai/free/en/papers/momen-2026-surprisal-metaphor-novelty-judgments-moderate/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Omar Momen, Emilie Sitter, Berenike Herrmann, et al.*2026 · 1 citation*

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

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