Liat Ein-Dor

According to our database, Liat Ein-Dor authored at least 29 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Conversational Prompt Engineering.

Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim

CoRR, 2024

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications.

Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim

CoRR, 2024

Efficient Benchmarking (of Language Models).

Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Label-Efficient Model Selection for Text Generation.

Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Active Learning for Natural Language Generation.

Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-shot Topical Text Classification with LLMs - an Experimental Study.

Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

SimpleStyle: An Adaptable Style Transfer Approach.

Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor

CoRR, 2022

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours.

Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz

CoRR, 2022

Diversity Enhanced Table-to-Text Generation via Type Control.

Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer

CoRR, 2022

Zero-Shot Text Classification with Self-Training.

Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Quality Controlled Paraphrase Generation.

Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis.

Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An autonomous debating system.

Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

2020

Active Learning for BERT: An Empirical Study.

Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Corpus Wide Argument Mining - A Working Solution.

Liat Ein-Dor, Eyal Shnarch, Lena Dankin, Alon Halfon, Benjamin Sznajder, Ariel Gera, Carlos Alzate, Martin Gleize, Leshem Choshen, Yufang Hou, Yonatan Bilu, Ranit Aharonov, Noam Slonim

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Financial Event Extraction Using Wikipedia-Based Weak Supervision.

Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder

CoRR, 2019

Fast End-to-End Wikification.

Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim

CoRR, 2019

2018

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.

Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks.

Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Anomaly Detection in Large Databases Using Behavioral Patterning.

Hanna Mazzawi, Gal Dalal, David Rozenblat, Liat Ein-Dor, Matan Ninio, Ofer Lavi, Allon Adir, Ehud Aharoni, Einat Kermany

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.

Michal Ozery-Flato, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, Jianying Hu

Big Data, 2016

2015

TR9856: A Multi-word Term Relatedness Benchmark.

Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Analytics for resiliency in the mainframe.

Liat Ein-Dor, Yaara Goldschmidt, Ofer Lavi, G. E. Miller, Matan Ninio, Donna N. Dillenberger

IBM J. Res. Dev., 2013

2009

Efficient Human Computation

Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor

CoRR, 2009

Efficient human computation: the distributed labeling problem.

Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor

Proceedings of the ACM SIGKDD Workshop on Human Computation, Paris, France, June 28, 2009, 2009

2007

Ranking Under Uncertainty.

Or Zuk, Liat Ein-Dor, Eytan Domany

Proceedings of the UAI 2007, 2007

Workstation capacity tuning using reinforcement learning.

Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach

Proceedings of the ACM/IEEE Conference on High Performance Networking and Computing, 2007

2005

Sorting points into neighborhoods (SPIN): data analysis and visualization by ordering distance matrices.

Dan Tsafrir, Ilan Tsafrir, Liat Ein-Dor, Or Zuk, Daniel A. Notterman, Eytan Domany

Bioinform., 2005

Outcome signature genes in breast cancer: is there a unique set?.

Liat Ein-Dor, Itai Kela, Gad Getz, David Givol, Eytan Domany

Bioinform., 2005