243 | Mp4

: 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".

: "Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition" – A 2022 paper introducing a new dataset for improved location identification in text. 243 mp4

: Uses social science-inspired evaluation methods to track bias propagation across language style and lexical content. Resources : Read the Full Paper (PDF) Watch the Presentation (243.mp4) (Direct Video Link) Other Related Papers (Index 243) : The authors found that LLMs often use

: Critically examines gender biases in reference letters generated by LLMs like GPT. 243 mp4