Keivan Rezaei

Orcid: 0000-0003-4295-0832

According to our database1, Keivan Rezaei authored at least 20 papers between 2023 and 2025.

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Bibliography

2025
Reasoning Under Uncertainty: Exploring Probabilistic Reasoning Capabilities of LLMs.
CoRR, September, 2025

Model State Arithmetic for Machine Unlearning.
CoRR, June, 2025

Localizing Knowledge in Diffusion Transformers.
CoRR, May, 2025

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models.
CoRR, February, 2025

RESTOR: Knowledge Recovery in Machine Unlearning.
Trans. Mach. Learn. Res., 2025

Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2025

RePanda: Pandas-powered Tabular Verification and Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
RESTOR: Knowledge Recovery through Machine Unlearning.
CoRR, 2024

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models.
CoRR, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
CoRR, 2024

Ad Auctions for LLMs via Retrieval Augmented Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

PRIME: Prioritizing Interpretability in Failure Mode Extraction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Regret Analysis of Repeated Delegated Choice.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Online Advertisements with LLMs: Opportunities and Challenges.
CoRR, 2023

Text2Concept: Concept Activation Vectors Directly From Text.
Proceedings of the 2nd Explainable AI for Computer Vision Workshop, 2023

Delegating to Multiple Agents.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Run-off Election: Improved Provable Defense against Data Poisoning Attacks.
Proceedings of the International Conference on Machine Learning, 2023

Text-To-Concept (and Back) via Cross-Model Alignment.
Proceedings of the International Conference on Machine Learning, 2023


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