Jacovi, Alon

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

Jacovi, A., Marasović, A., Miller, T., & Goldberg, Y. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 545

Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness?

Jacovi, A., & Goldberg, Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 503

Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals

Elazar, Y., Ravfogel, S., Jacovi, A., & Goldberg, Y. (2021) · Transactions of the Association for Computational Linguistics

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 126

Contrastive Explanations for Model Interpretability

Jacovi, A., Swayamdipta, S., Ravfogel, S., Elazar, Y., Choi, Y., & Goldberg, Y. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 83

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Jacovi, A., Caciularu, A., Goldman, O., & Goldberg, Y. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 36

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Jacovi, A., Caciularu, A., Goldman, O., & Goldberg, Y. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 36

A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains

Jacovi, A., Bitton, Y., Bohnet, B., Herzig, J., Honovich, O., Tseng, M., Collins, M., Aharoni, R., & Geva, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 14

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Goldman, O., Jacovi, A., Slobodkin, A., Maimon, A., Dagan, I., & Tsarfaty, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3