Lucas Mattioli

Uncovering Default Gender Biases in Publicly Accessible LLMs Through Counter-Balancing Cloze-Task (CBCT)

As large language models (LLMs) become ubiquitous in professional, educational, and creative workflows, ensuring demographic neutrality is critical. However, commercial conversational models are heavily shielded by top-level safety alignment filters that obscure implicit biases. This study investigates latent gender bi...