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Safetyprompts: a systematic review of open datasets for evaluating and improving large language model safety
Revisiting Rogers' Paradox in the Context of Human-AI Interaction
Humans learn about the world, and how to act in the world, in many ways: from individually
conducting experiments to observing and reproducing others' behavior. Different learning …
conducting experiments to observing and reproducing others' behavior. Different learning …
Culture is Not Trivia: Sociocultural Theory for Cultural NLP
The field of cultural NLP has recently experienced rapid growth, driven by a pressing need
to ensure that language technologies are effective and safe across a pluralistic user base …
to ensure that language technologies are effective and safe across a pluralistic user base …
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR)
Models trained on crowdsourced labels may not reflect broader population views when
annotator pools are not representative. Since collecting representative labels is challenging …
annotator pools are not representative. Since collecting representative labels is challenging …