6 citations · 6 across the 6 of their papers we have counts for
7 papers
CLIN: an Objective Framework for Evaluating Creativity in Short Persian Literary Text
Mohammad Reza Modarres, Armin Tourajmehr, Yadollah Yaghoobzadeh +1
Evaluating creativity in large language model (LLM) outputs remains challenging because creativity is multidimensional and human-centered. We examine how reliably LLMs evaluate sho…
FFE-Hallu:Hallucinations in Fixed Figurative Expressions:Benchmark of Idioms and Proverbs in the Persian Language
Faezeh Hosseini, Mohammadali Yousefzadeh, Yadollah Yaghoobzadeh
Figurative language, particularly fixed figurative expressions (FFEs) such as idioms and proverbs, poses persistent challenges for large language models (LLMs). Unlike literal phra…
Evaluating the Creativity of LLMs in Persian Literary Text Generation
Armin Tourajmehr, Mohammad Reza Modarres, Yadollah Yaghoobzadeh
Large language models (LLMs) have demonstrated notable creative abilities in generating literary texts, including poetry and short stories. However, prior research has primarily ce…
Deconstructing the Crystal Ball: From Ad-Hoc Prediction to Principled Startup Evaluation with the SAISE Framework
Seyed Mohammad Ali Jafari, Ali Mobini Dehkordi, Ehsan Chitsaz +1
The integration of Artificial Intelligence (AI) into startup evaluation represents a significant technological shift, yet the academic research underpinning this transition remains…
LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
Ali Zolnour, Hossein Azadmaleki, Yasaman Haghbin +13
Alzheimer's disease and related dementias(ADRD) affect nearly five million older adults in the United States, yet more than half remain undiagnosed. Speech-based natural language p…
What Matters Most? A Quantitative Meta-Analysis of AI-Based Predictors for Startup Success
Seyed Mohammad Ali Jafari, Ali Mobini Dehkordi, Ehsan Chitsaz +1
Background: Predicting startup success with machine learning is a rapidly growing field, yet findings on key predictors are often fragmented and context-specific. This makes it dif…