1 citations · 1 across the 2 of their papers we have counts for
4 papers
Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations
Pardis Sadat Zahraei, Ali Emami
Addressing gender bias and maintaining logical coherence in machine translation remains challenging, particularly when translating between natural gender languages, like English, a…
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
Mohammad Mahdi Abootorabi, Omid Ghahroodi, Pardis Sadat Zahraei +17
Generative AI is reshaping art, gaming, and most notably animation. Recent breakthroughs in foundation and diffusion models have reduced the time and cost of producing animated con…
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
Pardis Sadat Zahraei, Zahra Shakeri
Biased AI-generated medical advice and misdiagnoses can jeopardize patient safety, making the integrity of AI in healthcare more critical than ever. As Large Language Models (LLMs)…
TuringQ: Benchmarking AI Comprehension in Theory of Computation
Pardis Sadat Zahraei, Ehsaneddin Asgari
We present TuringQ, the first benchmark designed to evaluate the reasoning capabilities of large language models (LLMs) in the theory of computation. TuringQ consists of 4,006 unde…