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Rotem Dror

Rotem Dror has 2 papers in our library, in 2021–2025, most of them on Language models & pretraining, Summarization, Evaluation & benchmarks; often with Dan Roth, Daniel Deutsch, Nitay Calderon.

2 papers in our library · 2021–2025

OpenAlex · ORCID · h-index 13 · 47 works · 886 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 568 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #5978

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods (2021 · 117 citations)
    Automatic summarization metrics are usually judged by how well their scores correlate with human quality ratings.
  2. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs (2025 · 52 citations)
    Researchers increasingly use LLMs instead of people to label data or evaluate model outputs. There is no accepted, statistically grounded way to decide whether this substitution is justified. Common checks such as F1, kappa or correlation have no clear pass/fail threshold and cannot show that an LLM beats a human.…

All works

10 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRotem Dror et al.2018 · 607 citations
  2. Deep Dominance - How to Properly Compare Deep Neural Models ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetRotem Dror, Segev Shlomov, Roi Reichart2019 · 162 citations
  3. Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets ↗Transactions of the Association for Computational Linguistics · no summary yetRotem Dror et al.2017 · 98 citations
  4. On the Limitations of Reference-Free Evaluations of Generated Text ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetDaniel Deutsch, Rotem Dror, Dan Roth2022 · 69 citations
  5. Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetDaniel Deutsch, Rotem Dror, Dan Roth2022 · 54 citations
  6. RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations · no summary yetXinya Du et al.2022 · 38 citations
  7. Zero-Shot On-the-Fly Event Schema Induction ↗Findings of the Association for Computational Linguistics: EACL 2023 · no summary yetRotem Dror, Haoyu Wang, Dan Roth2023 · 32 citations
  8. Human-in-the-loop Schema Induction ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) · no summary yetTianyi Zhang et al.2023 · 22 citations

 Co-authors here

4 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 568 times (of the 149,439 papers whose bibliographies we read); 73 citing papers with a page here →.

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