Yehonatan Elisha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
6
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems. | Dor Arviv, Yehonatan Elisha, Oren Barkan, Noam Koenigstein |
| 2026 | AAAI | Fidelity-Aware Recommendation Explanations via Stochastic Path Integration. | Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein |
| 2026 | AAAI | Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations. | Yehonatan Elisha, Seffi Cohen, Oren Barkan, Noam Koenigstein |
| 2025 | AAAI | BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation. | Oren Barkan, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein |
| 2025 | EMNLP | Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon. | Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen |
| 2025 | ICCV | Soft Local Completeness: Rethinking Completeness in XAI. | Ziv Weiss Haddad, Oren Barkan, Yehonatan Elisha, Noam Koenigstein |
| 2025 | SIGIR | Refining Fidelity Metrics for Explainable Recommendations. | Mikhail Baklanov, Veronika Bogina, Yehonatan Elisha, Yahlly Schein, Liron I. Allerhand, Oren Barkan, Noam Koenigstein |
| 2024 | CIKM | A Learning-based Approach for Explaining Language Models. | Oren Barkan, Yonatan Toib, Yehonatan Elisha, Noam Koenigstein |
| 2024 | CIKM | Probabilistic Path Integration with Mixture of Baseline Distributions. | Yehonatan Elisha, Oren Barkan, Noam Koenigstein |
| 2024 | EMNLP | Improving LLM Attributions with Randomized Path-Integration. | Oren Barkan, Yehonatan Elisha, Yonatan Toib, Jonathan Weill, Noam Koenigstein |
| 2024 | EMNLP | LLM Explainability via Attributive Masking Learning. | Oren Barkan, Yonatan Toib, Yehonatan Elisha, Jonathan Weill, Noam Koenigstein |
| 2023 | CIKM | Deep Integrated Explanations. | Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein |
| 2023 | ICCV | Visual Explanations via Iterated Integrated Attributions. | Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein |
| 2023 | ICDM | Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. | Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein |
| 2023 | ICDM | Stochastic Integrated Explanations for Vision Models. | Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein |