Dror, Rotem

The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing

Dror, R., Baumer, G., Shlomov, S., & Reichart, R. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 384

State of What Art? A Call for Multi-Prompt LLM Evaluation

Mizrahi, M., Kaplan, G., Malkin, D., Dror, R., Shahaf, D., & Stanovsky, G. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 113

Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets

Dror, R., Baumer, G., Bogomolov, M., & Reichart, R. (2017) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 63

On the Limitations of Reference-Free Evaluations of Generated Text

Deutsch, D., Dror, R., & Roth, D. (2022) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 29

Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics

Deutsch, D., Dror, R., & Roth, D. (2022) · arXiv

Advanced Text Analysis TechniquesNatural Language Processing Techniques

Cited by 22