All Work Published on Machine Learning
These three approaches to editing large language models could make them more accurate, consistent, and up-to-date.
These three approaches to editing large language models could make them more accurate, consistent, and up-to-date.
Stanford researchers reveal the surprising heterogeneity of cost and accuracy in the machine learning as a service (MLaaS) market – and offer a tool to help consumers choose wisely.
Stanford researchers reveal the surprising heterogeneity of cost and accuracy in the machine learning as a service (MLaaS) market – and offer a tool to help consumers choose wisely.
Stanford researchers have created a set of open-source tools to measure therapists’ timing, responsiveness, and consistency to better understand what works.
Stanford researchers have created a set of open-source tools to measure therapists’ timing, responsiveness, and consistency to better understand what works.
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.
Scholars benchmark 30 prominent language models across a wide range of scenarios and for a broad range of metrics to elucidate their capabilities and risks.
Is This a Deer I See? Socially Aware AI Adapts by Asking Questions of Humans
When confronted with new or unfamiliar surroundings, a novel AI agent effectively trains itself through discussions with people.
When confronted with new or unfamiliar surroundings, a novel AI agent effectively trains itself through discussions with people.
Here are the workshops, competitions, and posters from Stanford researchers at this year’s machine learning and computational neuroscience conference.
Here are the workshops, competitions, and posters from Stanford researchers at this year’s machine learning and computational neuroscience conference.
