Author

Mohammad Taher Pilehvar

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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 Sep 2026

WiC is Not WSD: A Study on LLMs and Lexical Ambiguity Resolution

It is found that providing candidate senses, similar to what is done in traditional WSD, improves WiC performance in all settings and helps models make more consistent and targeted judgements.

Yi Zhou, Kiamehr Rezaee, Danushka Bollegala 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