Laleh Seyyed-Kalantari — accepted AI-conference papers

2025

We Politely Insist: Your LLM Must Learn the Persian Art of Taarof

Nikta Gohari Sadr, Sahar Heidariasl, Karine Megerdoomian, Laleh Seyyed-Kalantari, Ali Emami

EMNLP 2025

Large language models (LLMs) struggle to navigate culturally specific communication norms, limiting their effectiveness in global contexts. We focus on Persian *taarof*, a social norm in Iranian interactions, which is a sophisticated system of ritual politeness that emphasizes deference, modesty, an

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2025

ZFusion: Efficient Deep Compositional Zero-shot Learning for Blind Image Super-Resolution with Generative Diffusion Prior

Alireza Esmaeilzehi, Hossein Zaredar, Yapeng Tian, Laleh Seyyed-Kalantari

ICCV 2025poster

Deep blind image super resolution (Blind SR) schemes strive to provide high performances under various image degradation processes. Despite the significant advancement in the area of Blind SR, the performances of these methods still may not be as high as one would desire in the case of real-world de…

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