Gender Prediction
22 papers with code • 3 benchmarks • 6 datasets
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Most implemented papers
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
We study the effect of tokenization on gender bias in machine translation, an aspect that has been largely overlooked in previous works.
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Furthermore, we attempted various ways to fine-tune the ShareGPT4V model for this specific task, aiming to achieve state-of-the-art results in this particular challenge.