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Yadollah Yaghoobzadeh

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#artificial intelligence Preprint Oct 2026

PerSo: Investigating Facets of LLMs'Social Intelligence in Real-World Persuasion Scenarios

Understanding the social intelligence of large language models (LLMs) is increasingly important for applications involving human-AI interaction and multi-agent environments. Social intelligence comprises two aspects: cognitive intelligence, the ability to infer others'mental states, and behavioral intelligence, the abi...

Alieh Zamani, Soroush Esfahanian, Erfan Shahabi et al. · 0 citations

#natural language process... Preprint Aug 2026

CLIN: an Objective Framework for Evaluating Creativity in Short Persian Literary Text

Evaluating creativity in large language model (LLM) outputs remains challenging because creativity is multidimensional and human-centered. We examine how reliably LLMs evaluate short literary text in Persian, a low-resource language, across multiple evaluation strategies and prompt formulations. We find that LLM-human...

Mohammad Reza Modarres, Armin Tourajmehr, Yadollah Yaghoobzadeh et al. · 0 citations