Liat Ein-Dor
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
9
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Masked by Consensus: Disentangling Privileged Knowledge in LLM Correctness. | Tomer Ashuach, Shai Gretz, Yoav Katz, Yonatan Belinkov, Liat Ein-Dor |
| 2026 | ACL | Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs. | Yehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, Liat Ein-Dor, Roi Reichart |
| 2025 | EMNLP | Multi-Domain Explainability of Preferences. | Nitay Calderon, Liat Ein-Dor, Roi Reichart |
| 2024 | ACL | Label-Efficient Model Selection for Text Generation. | Shir Ashury-Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch |
| 2024 | NAACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Active Learning for Natural Language Generation. | Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor |
| 2022 | AAAI | Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. | Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim |
| 2022 | ACL | Quality Controlled Paraphrase Generation. | Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor |
| 2022 | EMNLP | Zero-Shot Text Classification with Self-Training. | Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim |
| 2020 | AAAI | 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 |
| 2020 | EMNLP | 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 |
| 2018 | ACL | 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 |
| 2018 | LREC | 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 |
| 2017 | ICDE | 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 |
| 2015 | ACL | TR9856: A Multi-word Term Relatedness Benchmark. | Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim |
| 2009 | KDD | Efficient human computation: the distributed labeling problem. | Ran Gilad-Bachrach, Aharon Bar-Hillel, Liat Ein-Dor |
| 2007 | SC | Workstation capacity tuning using reinforcement learning. | Aharon Bar-Hillel, Amir Di-Nur, Liat Ein-Dor, Ran Gilad-Bachrach, Yossi Ittach |
| 2007 | UAI | Ranking Under Uncertainty. | Or Zuk, Liat Ein-Dor, Eytan Domany |