---
title: "Who cites Replicability Analysis for Natural — 35 citing papers"
description: "35 papers of the Elamur Research library cite «Replicability Analysis for Natural Language Processing: Testing Significance with Multiple…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Replicability Analysis for Natural Language…](https://md.research.elamur.ai/free/en/papers/dror-2017-replicability-analysis-natural-language-processing/) / cited by

# Who cites «Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets»](https://md.research.elamur.ai/free/en/papers/dror-2017-replicability-analysis-natural-language-processing/)

1. **[Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*
2. **[A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods](https://md.research.elamur.ai/free/en/papers/deutsch-2021-statistical-analysis-summarization-evaluation-metrics/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Daniel Deutsch, Rotem Dror, Dan Roth*2021 · 117 citations*
3. **[The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs](https://md.research.elamur.ai/free/en/papers/calderon-2025-alternative-annotator-test-llm-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nitay Calderon, Roi Reichart, Rotem Dror*2025 · 52 citations*
4. [**Reproducibility in Machine Learning-Driven Research arXiv:2307.10320**Harald Semmelrock, Simone Kopeinik, Dieter Theiler, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/semmelrock-2023-reproducibility-machine-learning-driven/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/dror-2017-replicability-analysis-natural-language-processing/) — Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets