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2020 – today
- 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 - [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
- [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 - [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
- [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 - [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) - 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) - 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
2010 – 2019
- 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) - 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 - 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) - 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 - 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) - 2012
- [i2]Or Zuk, Liat Ein-Dor, Eytan Domany:
Ranking Under Uncertainty. CoRR abs/1206.5280 (2012)
2000 – 2009
- 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 - [i1]Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor:
Efficient Human Computation. CoRR abs/0903.1125 (2009) - 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 - 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)
Coauthor Index
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last updated on 2024-09-26 01:00 CEST by the dblp team
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