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Liat Ein-Dor
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Journal Articles
- 2021
[j5]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:
An autonomous debating system. Nat. 591(7850): 379-384 (2021)- 2016
[j4]Michal Ozery-Flato
, Liat Ein-Dor, Naama Parush-Shear-Yashuv, Ranit Aharonov, Hani Neuvirth, Martin S. Kohn, Jianying Hu:
Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study. Big Data 4(3): 148-159 (2016)- 2013
[j3]Liat Ein-Dor, Yaara Goldschmidt, Ofer Lavi, G. E. Miller, Matan Ninio, Donna N. Dillenberger:
Analytics for resiliency in the mainframe. IBM J. Res. Dev. 57(5) (2013)- 2005
[j2]Liat Ein-Dor, Itai Kela, Gad Getz, David Givol, Eytan Domany:
Outcome signature genes in breast cancer: is there a unique set?. Bioinform. 21(2): 171-178 (2005)
[j1]Dan Tsafrir, Ilan Tsafrir, Liat Ein-Dor, Or Zuk, Daniel A. Notterman, Eytan Domany:
Sorting points into neighborhoods (SPIN): data analysis and visualization by ordering distance matrices. Bioinform. 21(10): 2301-2308 (2005)
Conference and Workshop Papers
- 2024
[c16]Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch:
Label-Efficient Model Selection for Text Generation. ACL (1) 2024: 8384-8402
[c15]Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen:
Efficient Benchmarking (of Language Models). NAACL-HLT 2024: 2519-2536- 2023
[c14]Shai Gretz, Alon Halfon, Ilya Shnayderman, Orith Toledo-Ronen, Artem Spector, Lena Dankin, Yannis Katsis, Ofir Arviv, Yoav Katz, Noam Slonim, Liat Ein-Dor:
Zero-shot Topical Text Classification with LLMs - an Experimental Study. EMNLP (Findings) 2023: 9647-9676
[c13]Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor:
Active Learning for Natural Language Generation. EMNLP 2023: 9862-9877- 2022
[c12]Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. AAAI 2022: 10608-10617
[c11]Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor:
Quality Controlled Paraphrase Generation. ACL (1) 2022: 596-609
[c10]Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim:
Zero-Shot Text Classification with Self-Training. EMNLP 2022: 1107-1119- 2020
[c9]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:
Corpus Wide Argument Mining - A Working Solution. AAAI 2020: 7683-7691
[c8]Liat Ein-Dor, Alon Halfon, Ariel Gera, Eyal Shnarch, Lena Dankin, Leshem Choshen, Marina Danilevsky, Ranit Aharonov, Yoav Katz, Noam Slonim:
Active Learning for BERT: An Empirical Study. EMNLP (1) 2020: 7949-7962- 2018
[c7]Liat Ein-Dor, Yosi Mass, Alon Halfon, Elad Venezian, Ilya Shnayderman, Ranit Aharonov, Noam Slonim:
Learning Thematic Similarity Metric from Article Sections Using Triplet Networks. ACL (2) 2018: 49-54
[c6]Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim:
Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. LREC 2018- 2017
[c5]Hanna Mazzawi, Gal Dalal, David Rozenblat, Liat Ein-Dor, Matan Ninio, Ofer Lavi, Allon Adir, Ehud Aharoni, Einat Kermany:
Anomaly Detection in Large Databases Using Behavioral Patterning. ICDE 2017: 1140-1149- 2015
[c4]Ran Levy
, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim:
TR9856: A Multi-word Term Relatedness Benchmark. ACL (2) 2015: 419-424- 2009
[c3]Ran Gilad-Bachrach
, Aharon Bar-Hillel
, Liat Ein-Dor:
Efficient human computation: the distributed labeling problem. KDD Workshop on Human Computation 2009: 70-76- 2007
[c2]Aharon Bar-Hillel
, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach
, Yossi Ittach:
Workstation capacity tuning using reinforcement learning. SC 2007: 32
[c1]Or Zuk, Liat Ein-Dor, Eytan Domany:
Ranking Under Uncertainty. UAI 2007: 466-473
Informal and Other Publications
- 2025
[i19]Gili Lior, Asaf Yehudai, Ariel Gera, Liat Ein-Dor:
WildIFEval: Instruction Following in the Wild. CoRR abs/2503.06573 (2025)
[i18]Nitay Calderon, Liat Ein-Dor, Roi Reichart:
Multi-Domain Explainability of Preferences. CoRR abs/2505.20088 (2025)
[i17]Yehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart:
Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs. CoRR abs/2509.22582 (2025)- 2024
[i16]Shir Ashury-Tahan, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch, Ariel Gera:
Label-Efficient Model Selection for Text Generation. CoRR abs/2402.07891 (2024)
[i15]Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim:
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR abs/2407.18990 (2024)
[i14]Liat Ein-Dor, Orith Toledo-Ronen, Artem Spector, Shai Gretz, Lena Dankin, Alon Halfon, Yoav Katz, Noam Slonim:
Conversational Prompt Engineering. CoRR abs/2408.04560 (2024)- 2023
[i13]Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor:
Active Learning for Natural Language Generation. CoRR abs/2305.15040 (2023)
[i12]Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen:
Efficient Benchmarking (of Language Models). CoRR abs/2308.11696 (2023)- 2022
[i11]Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim:
Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. CoRR abs/2201.02026 (2022)
[i10]Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor:
Quality Controlled Paraphrase Generation. CoRR abs/2203.10940 (2022)
[i9]Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer:
Diversity Enhanced Table-to-Text Generation via Type Control. CoRR abs/2205.10938 (2022)
[i8]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:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. CoRR abs/2208.01483 (2022)
[i7]Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim:
Zero-Shot Text Classification with Self-Training. CoRR abs/2210.17541 (2022)
[i6]Elron Bandel, Yoav Katz, Noam Slonim, Liat Ein-Dor:
SimpleStyle: An Adaptable Style Transfer Approach. CoRR abs/2212.10498 (2022)- 2019
[i5]Ilya Shnayderman, Liat Ein-Dor, Yosi Mass, Alon Halfon, Benjamin Sznajder, Artem Spector, Yoav Katz, Dafna Sheinwald, Ranit Aharonov, Noam Slonim:
Fast End-to-End Wikification. CoRR abs/1908.06785 (2019)
[i4]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:
Corpus Wide Argument Mining - a Working Solution. CoRR abs/1911.10763 (2019)
[i3]Liat Ein-Dor, Ariel Gera, Orith Toledo-Ronen, Alon Halfon, Benjamin Sznajder:
Financial Event Extraction Using Wikipedia-Based Weak Supervision. CoRR abs/1911.10783 (2019)- 2012
[i2]Or Zuk, Liat Ein-Dor, Eytan Domany:
Ranking Under Uncertainty. CoRR abs/1206.5280 (2012)- 2009
[i1]Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor:
Efficient Human Computation. CoRR abs/0903.1125 (2009)
Coauthor Index

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