Yehonatan Elisha

2025

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Refining Fidelity Metrics for Explainable Recommendations.
Alan Eckhardt|Yehonatan Elisha|Mikhail Baklanov|Juraj Hresko|Veronika Bogina|Liron I. Allerhand|Alan Eckhardt|Yehonatan Elisha|Jan Procházka|Oren Barkan|Otakar Smrs|Noam Koenigstein|Yahlly Schein|Juraj Hresko|Liron I. Allerhand|Jan Procházka|Oren Barkan|Otakar Smrs|Noam Koenigstein
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

2024

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A Learning-based Approach for Explaining Language Models.
Oren Barkan|Yonatan Toib|Yehonatan Elisha|Noam Koenigstein
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Probabilistic Path Integration with Mixture of Baseline Distributions.
Yehonatan Elisha|Oren Barkan|Noam Koenigstein
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2023

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Deep Integrated Explanations.
Oren Barkan|Yehonatan Elisha|Jonathan Weill|Yuval Asher|Amit Eshel|Noam Koenigstein
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023