Papers with LLM)-generated content
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs (2025.acl-long)
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| Challenge: | Social biases manifest in language agency, but there is no comprehensive benchmark for evaluating such biase in language models. |
| Approach: | They propose a benchmark to evaluate language agency biases in large language models . they propose 'Mitigation via Selective Rewrite' to selectively revise parts of generated texts . |
| Outcome: | The proposed language agency bias evaluation benchmark identifies gender, racial, and intersectional biases in 3 recent LLMs. |