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Erfan Shahabi

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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
#artificial intelligence Preprint Oct 2026

SimInter: Evidence-Grounded User Simulation with Interview-Based Profile Enrichment for Conversational Recommender Systems

Conversational Recommender Systems (CRSs) require reliable user simulators for cost-effective evaluation. LLM-based simulators have made realistic simulation possible but typically condition on profiles derived from explicit ratings, demographics, and static sources capturing surface preferences while omitting implicit...

Erfan Shahabi, Amirhossein Roshandel, Mohammad Sadegh Sadeghi et al. · 0 citations

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