The Structured Weighted Violations Perceptron Algorithm. - Rotem Dror; Roi Reichart (EMNLP, 2016)

Set-SMAA for finding preferable multi-objective solutions. - Rotem Dror; Amir Kantor; Michael Masin; Segev Shlomov (GECCO (Companion), 2017)

Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets. - Rotem Dror; Gili Baumer; Marina Bogomolov; Roi Reichart (Trans. Assoc. Comput. Linguistics, 2017)

The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing. - Rotem Dror; Gili Baumer; Segev Shlomov; Roi Reichart (ACL (1), 2018)

Appendix - Recommended Statistical Significance Tests for NLP Tasks. - Rotem Dror; Roi Reichart (CoRR, 2018)

Deep Dominance - How to Properly Compare Deep Neural Models. - Rotem Dror; Segev Shlomov; Roi Reichart (ACL (1), 2019)

The Structured Weighted Violations MIRA. - Dor Ringel; Rotem Dror; Roi Reichart (CoRR, 2020)

Statistical Significance Testing for Natural Language Processing - Rotem Dror; Lotem Peled-Cohen; Segev Shlomov; Roi Reichart (Morgan & Claypool Publishers, 2020)

A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (Trans. Assoc. Comput. Linguistics, 2021)

On the Limitations of Reference-Free Evaluations of Generated Text. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (EMNLP, 2022)

Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics. - Daniel Deutsch; Rotem Dror; Dan Roth 001 (NAACL-HLT, 2022)

Human-in-the-loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Leon Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (ACL (demo), 2023)

Zero-Shot On-the-Fly Event Schema Induction. - Rotem Dror; Haoyu Wang 005; Dan Roth 001 (EACL (Findings), 2023)

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics. - Christoph Leiter; Juri Opitz; Daniel Deutsch; Yang Gao 021; Rotem Dror; Steffen Eger (Eval4NLP, 2023)

Human-in-the-Loop Schema Induction. - Tianyi Zhang; Isaac Tham; Zhaoyi Hou; Jiaxuan Ren; Liyang Zhou; Hainiu Xu; Li Zhang 039; Lara J. Martin; Rotem Dror; Sha Li; Heng Ji 001; Martha Palmer; et al. (CoRR, 2023)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)

Using Facial Expressions to Predict Process Mining Task Performance. - Lital Shalev; Irit Hadar; Rotem Dror; Adir Solomon; Elizaveta Sorokina; Michal Weisman Raymond; Pnina Soffer (ICPM Workshops, 2024)

The Curator's Helper. - Rotem Dror; Daniel Hutchinson; Mason A. Jones; Victoria Van Hyning; Tsvi Kuflik (UMAP (Adjunct Publication), 2024)

State of What Art? A Call for Multi-Prompt LLM Evaluation. - Moran Mizrahi 001; Guy Kaplan; Dan Malkin; Rotem Dror; Dafna Shahaf; Gabriel Stanovsky (Trans. Assoc. Comput. Linguistics, 2024)

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs. - Nitay Calderon; Roi Reichart; Rotem Dror (ACL (1), 2025)

Diffusion-Driven Inertial Generated Data for Smartphone Location Classification. - Noa Cohen; Rotem Dror; Itzik Klein (CoRR, 2025)

Diffusion Denoiser-Aided Gyrocompassing. - Gershy Ben-Arie; Daniel Engelsman; Rotem Dror; Itzik Klein (CoRR, 2025)