All Work Published on Natural Language Processing
A new collaboration demonstrates how LLMs can effectively advise those who are offering emotional support to others.
A new collaboration demonstrates how LLMs can effectively advise those who are offering emotional support to others.
Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.
Six interdisciplinary research teams received a total of $3 million to pursue groundbreaking ideas in the field of AI.
With the release of Meta's Llama 3.1, Director of CRFM and Senior Fellow at Stanford HAI Percy Liang comments on the potential audience shifts that could occur from other commercial AI tools to Llama 3.1.
With the release of Meta's Llama 3.1, Director of CRFM and Senior Fellow at Stanford HAI Percy Liang comments on the potential audience shifts that could occur from other commercial AI tools to Llama 3.1.
Stanford HAI Senior Fellow Daniel E. Ho comments on his research on legal hallucinations in large language models and the viability of using similar models for judicial interpretation.
Stanford HAI Senior Fellow Daniel E. Ho comments on his research on legal hallucinations in large language models and the viability of using similar models for judicial interpretation.
A new study adapts large language models to summarize clinical documents, showing a promising path for AI to improve clinical workflows and patient care.
A new study adapts large language models to summarize clinical documents, showing a promising path for AI to improve clinical workflows and patient care.
In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is-more approach may be preferable.
In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is-more approach may be preferable.
