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Pardis Sadat Zahraei

2 accepted papers

2025

Translate With Care: Addressing Gender Bias, Neutrality, and Reasoning in Large Language Model Translations

ACL 2025finding

Addressing gender bias and maintaining logical coherence in machine translation remains challenging, particularly when translating between natural gender languages, like English, and genderless languages, such as Persian, Indonesian, and Finnish. We introduce the Translate-with-Care (TWC) dataset, c…

2024

TuringQ: Benchmarking AI Comprehension in Theory of Computation

EMNLP 2024finding

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 undergraduate and graduate-level question-answer pairs, categorized into four difficulty levels and covering seven core theo…