AI & ML impact 15

Can We Locate and Prevent Stereotypes in LLMs?

Can We Locate and Prevent Stereotypes in LLMs? arXiv:2604.19764v1 Announce Type: cross Abstract: Stereotypes in large language models (LLMs) can perpetuate harmful societal biases.

Why it matters

The timing matters: stereotypes is converging with shifts in llms, which could amplify the downstream impact.

Read full article at arXiv AI →

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