All Work Published on Natural Language Processing
Diyi Yang: Human-Centered Natural Language Processing Will Produce More Inclusive Technologies
In her course called Human-Centered NLP, Yang challenges students to think beyond technical performance or accuracy.
In her course called Human-Centered NLP, Yang challenges students to think beyond technical performance or accuracy.
According to Stanford researchers, large language models are not greater than the sum of their parts.
According to Stanford researchers, large language models are not greater than the sum of their parts.
Stanford experts examine the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors.
Stanford experts examine the safety and accuracy of GPT-4 in serving curbside consultation needs of doctors.
As companies release new, more capable models, questions around deployment and transparency arise.
As companies release new, more capable models, questions around deployment and transparency arise.
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.
Stanford researchers explore how to improve AI-generated descriptions of online images for blind and low-vision users.
Stanford researchers explore how to improve AI-generated descriptions of online images for blind and low-vision users.
