Dana Arad

According to our database, Dana Arad authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Mechanisms of Prompt-Induced Hallucination in Vision-Language Models.

William Rudman, Michal Golovanevsky, Dana Arad, Yonatan Belinkov, Ritambhara Singh, Carsten Eickhoff, Kyle Mahowald

CoRR, January, 2026

2025

Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models.

Dana Arad, Yonatan Belinkov, Hanjie Chen, Najoung Kim, Hosein Mohebbi, Aaron Mueller, Gabriele Sarti, Martin Tutek

CoRR, November, 2025

BlackboxNLP-2025 MIB Shared Task: Improving Circuit Faithfulness via Better Edge Selection.

Yaniv Nikankin, Dana Arad, Itay Itzhak, Anja Reusch, Adi Simhi, Gal Kesten-Pomeranz, Yonatan Belinkov

CoRR, October, 2025

HACK: Hallucinations Along Certainty and Knowledge Axes.

Adi Simhi, Jonathan Herzig, Itay Itzhak, Dana Arad, Zorik Gekhman, Roi Reichart, Fazl Barez, Gabriel Stanovsky, Idan Szpektor, Yonatan Belinkov

CoRR, October, 2025

CRISP: Persistent Concept Unlearning via Sparse Autoencoders.

Tomer Ashuach, Dana Arad, Aaron Mueller, Martin Tutek, Yonatan Belinkov

CoRR, August, 2025

Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs.

Yaniv Nikankin, Dana Arad, Yossi Gandelsman, Yonatan Belinkov

CoRR, June, 2025

MIB: A Mechanistic Interpretability Benchmark.

Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SAEs Are Good for Steering - If You Select the Right Features.

Dana Arad, Aaron Mueller, Yonatan Belinkov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder.

Dana Arad, Hadas Orgad, Yonatan Belinkov

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Predicting Fact Contributions from Query Logs with Machine Learning.

Dana Arad, Daniel Deutch, Nave Frost

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines.

Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

LearnShapley: Learning to Predict Rankings of Facts Contribution Based on Query Logs.

Dana Arad, Daniel Deutch, Nave Frost

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022