: The authors found that LLMs often use different descriptive terms based on gender—for example, describing female candidates as "warm" while calling male candidates "role models".
: "A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation" – A 2023 paper addressing gender bias specifically in machine translation. 243 mp4
: Critically examines gender biases in reference letters generated by LLMs like GPT. : The authors found that LLMs often use
In academic circles, "243" often refers to a paper's identifier in a specific conference track. Depending on your interest, you might also be looking for: you might also be looking for: