Yehonatan Elisha

Orcid: 0009-0007-2816-9472

According to our database1, Yehonatan Elisha authored at least 9 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation.
CoRR, 2024

LLM Explainability via Attributive Masking Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving LLM Attributions with Randomized Path-Integration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Probabilistic Path Integration with Mixture of Baseline Distributions.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Learning-based Approach for Explaining Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Stochastic Integrated Explanations for Vision Models.
Proceedings of the IEEE International Conference on Data Mining, 2023

Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models.
Proceedings of the IEEE International Conference on Data Mining, 2023

Visual Explanations via Iterated Integrated Attributions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Integrated Explanations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023


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