Rotem Dror

38 papers A* 2C 1Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI Planning Framework for LLM-Based Web Agents.
CoRR
Orit Shahnovsky, Rotem Dror
2026 J jnl
Detecting Behavioral and Emotional Themes Through Latent and Explicit Knowledge.
Syst.
Oded Mcdossi, Rotem Klein, Ali Shaer, Rotem Dror, Adir Solomon
2026 — conf
Multi-Agent Framework for Adaptive Social-Emotional Learning in Children's Digital Communication.
IUI Companion
Amit Malik, Ofri Elbaum, Tomer Malkevich, Zohar Elyoseph, Adir Solomon, Rotem Dror, Oshrat Ayalon
2025 J jnl
Diffusion Denoiser-Aided Gyrocompassing.
CoRR
Gershy Ben-Arie, Daniel Engelsman, Rotem Dror, Itzik Klein
2025 C conf
Diffusion-Driven Inertial Generated Data for Smartphone Location Classification.
IPIN
Noa Cohen, Rotem Dror, Itzik Klein
2025 J jnl
Diffusion-Driven Inertial Generated Data for Smartphone Location Classification.
CoRR
Noa Cohen, Rotem Dror, Itzik Klein
2025 — conf
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.
ACL (1)
Nitay Calderon, Roi Reichart, Rotem Dror
2025 J jnl
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.
CoRR
Nitay Calderon, Roi Reichart, Rotem Dror
2024 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
J. Data-centric Mach. Learn. Res.
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024 J jnl
State of What Art? A Call for Multi-Prompt LLM Evaluation.
CoRR
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
2024 J jnl
State of What Art? A Call for Multi-Prompt LLM Evaluation.
Trans. Assoc. Comput. Linguistics
Moran Mizrahi, Guy Kaplan, Dan Malkin, Rotem Dror, Dafna Shahaf, Gabriel Stanovsky
2024 — conf
The Curator's Helper.
UMAP (Adjunct Publication)
Rotem Dror, Daniel Hutchinson, Mason A. Jones, Victoria Van Hyning, Tsvi Kuflik
2024 — conf
Using Facial Expressions to Predict Process Mining Task Performance.
ICPM Workshops
Lital Shalev, Irit Hadar, Rotem Dror, Adir Solomon, Elizaveta Sorokina, Michal Weisman Raymond, Pnina Soffer
2023 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023 J jnl
Human-in-the-Loop Schema Induction.
CoRR
Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch
2023 — conf
Human-in-the-loop Schema Induction.
ACL (demo)
Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch
2023 — ed.
Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, Eval4NLP 2023, Bali, Indonesia, November 1, 2023
Eval4NLP
Daniel Deutsch, Rotem Dror, Steffen Eger, Yang Gao, Christoph Leiter, Juri Opitz, Andreas Rücklé
2023 — conf
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics.
Eval4NLP
Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger
2023 J jnl
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics.
CoRR
Christoph Leiter, Juri Opitz, Daniel Deutsch, Yang Gao, Rotem Dror, Steffen Eger
2023 — conf
Zero-Shot On-the-Fly Event Schema Induction.
EACL (Findings)
Rotem Dror, Haoyu Wang, Dan Roth
2022 A* conf
On the Limitations of Reference-Free Evaluations of Generated Text.
EMNLP
Daniel Deutsch, Rotem Dror, Dan Roth
2022 J jnl
On the Limitations of Reference-Free Evaluations of Generated Text.
CoRR
Daniel Deutsch, Rotem Dror, Dan Roth
2022 — conf
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics.
NAACL-HLT
Daniel Deutsch, Rotem Dror, Dan Roth
2022 J jnl
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics.
CoRR
Daniel Deutsch, Rotem Dror, Dan Roth
2022 J jnl
Zero-Shot On-the-Fly Event Schema Induction.
CoRR
Rotem Dror, Haoyu Wang, Dan Roth
2021 J jnl
A Statistical Analysis of Summarization Evaluation Metrics Using Resampling Methods.
Trans. Assoc. Comput. Linguistics
Daniel Deutsch, Rotem Dror, Dan Roth
2021 J jnl
A Statistical Analysis of Summarization Evaluation Metrics using Resampling Methods.
CoRR
Daniel Deutsch, Rotem Dror, Dan Roth
2020 — ed.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, ACL 2020, Online, July 5-10, 2020
ACL (student)
Shruti Rijhwani, Jiangming Liu, Yizhong Wang, Rotem Dror
2020 — book
Statistical Significance Testing for Natural Language Processing
Rotem Dror, Lotem Peled-Cohen, Segev Shlomov, Roi Reichart
2020 J jnl
The Structured Weighted Violations MIRA.
CoRR
Dor Ringel, Rotem Dror, Roi Reichart
2019 — conf
Deep Dominance - How to Properly Compare Deep Neural Models.
ACL (1)
Rotem Dror, Segev Shlomov, Roi Reichart
2018 J jnl
Appendix - Recommended Statistical Significance Tests for NLP Tasks.
CoRR
Rotem Dror, Roi Reichart
2018 — conf
The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing.
ACL (1)
Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart
2017 J jnl
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets.
CoRR
Rotem Dror, Gili Baumer, Marina Bogomolov, Roi Reichart
2017 J jnl
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets.
Trans. Assoc. Comput. Linguistics
Rotem Dror, Gili Baumer, Marina Bogomolov, Roi Reichart
2017 — conf
Set-SMAA for finding preferable multi-objective solutions.
GECCO (Companion)
Rotem Dror, Amir Kantor, Michael Masin, Segev Shlomov
2016 A* conf
The Structured Weighted Violations Perceptron Algorithm.
EMNLP
Rotem Dror, Roi Reichart
2016 J jnl
The Structured Weighted Violations Perceptron Algorithm.
CoRR
Rotem Dror, Roi Reichart