The data efficiency gap: why children learn language from so few examples
A language model processes vastly more words than a child hears while mastering a mother tongue. The gap has a name but no explanation.
Research
A language model processes vastly more words than a child hears while mastering a mother tongue. The gap has a name but no explanation.
A new study published in iScience shows that GPT-4 can predict, with high correlation, the aggregate responses participants will give to personality surveys it generated—before the surveys are even administered.
Researchers developed a framework called SEAG that hides sensitive information before it is sent to third-party large language models. The system answers user queries accurately without exposing hidden data.
A new study by Xin Shu, Zhen Lei, and Ang Li proposes tighter bounds than existing ones for multivalued probabilities of causation.