Outcome signature genes in breast cancer: is there a unique set?. - Liat Ein-Dor; Itai Kela; Gad Getz; David Givol; Eytan Domany (Bioinform., 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)

Workstation capacity tuning using reinforcement learning. - Aharon Bar-Hillel; Amir Di-Nur; Liat Ein-Dor; Ran Gilad-Bachrach; Yossi Ittach (SC, 2007)

Ranking Under Uncertainty. - Or Zuk; Liat Ein-Dor; Eytan Domany (UAI, 2007)

Efficient human computation: the distributed labeling problem. - Ran Gilad-Bachrach; Aharon Bar-Hillel; Liat Ein-Dor (KDD Workshop on Human Computation, 2009)

Efficient Human Computation - Ran Gilad-Bachrach; Aharon Bar-Hillel; Liat Ein-Dor (CoRR, 2009)

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)

TR9856: A Multi-word Term Relatedness Benchmark. - Ran Levy 001; Liat Ein-Dor; Shay Hummel; Ruty Rinott; Noam Slonim (ACL (2), 2015)

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)

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 (ICDE, 2017)

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 (ACL (2), 2018)

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. - Liat Ein-Dor; Alon Halfon; Yoav Kantor; Ran Levy 001; Yosi Mass; Ruty Rinott; Eyal Shnarch; Noam Slonim (LREC, 2018)

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)

Financial Event Extraction Using Wikipedia-Based Weak Supervision. - Liat Ein-Dor; Ariel Gera; Orith Toledo-Ronen; Alon Halfon; Benjamin Sznajder (CoRR, 2019)

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 001; Yonatan Bilu; Ranit Aharonov; et al. (AAAI, 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 (EMNLP (1), 2020)

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; et al. (Nat., 2021)

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. - Liat Ein-Dor; Ilya Shnayderman; Artem Spector; Lena Dankin; Ranit Aharonov; Noam Slonim (AAAI, 2022)

Quality Controlled Paraphrase Generation. - Elron Bandel; Ranit Aharonov; Michal Shmueli-Scheuer; Ilya Shnayderman; Noam Slonim; Liat Ein-Dor (ACL (1), 2022)

Zero-Shot Text Classification with Self-Training. - Ariel Gera; Alon Halfon; Eyal Shnarch; Yotam Perlitz; Liat Ein-Dor; Noam Slonim (EMNLP, 2022)

Diversity Enhanced Table-to-Text Generation via Type Control. - Yotam Perlitz; Liat Ein-Dor; Dafna Sheinwald; Noam Slonim; Michal Shmueli-Scheuer (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 043; Dakuo Wang; Lucy Yip; Liat Ein-Dor; et al. (CoRR, 2022)

SimpleStyle: An Adaptable Style Transfer Approach. - Elron Bandel; Yoav Katz; Noam Slonim; Liat Ein-Dor (CoRR, 2022)

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 (EMNLP (Findings), 2023)

Active Learning for Natural Language Generation. - Yotam Perlitz; Ariel Gera; Michal Shmueli-Scheuer; Dafna Sheinwald; Noam Slonim; Liat Ein-Dor (EMNLP, 2023)

Label-Efficient Model Selection for Text Generation. - Shir Ashury-Tahan; Ariel Gera; Benjamin Sznajder; Leshem Choshen; Liat Ein-Dor; Eyal Shnarch (ACL (1), 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 (NAACL-HLT, 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)

Conversational Prompt Engineering. - Liat Ein-Dor; Orith Toledo-Ronen; Artem Spector; Shai Gretz; Lena Dankin; Alon Halfon; Yoav Katz; Noam Slonim (CoRR, 2024)

WildIFEval: Instruction Following in the Wild. - Gili Lior; Asaf Yehudai; Ariel Gera; Liat Ein-Dor (CoRR, 2025)

Multi-Domain Explainability of Preferences. - Nitay Calderon; Liat Ein-Dor; Roi Reichart (CoRR, 2025)