All Work Published on Natural Language Processing
Analyzing nearly 30 million posts, Stanford scholars reveal how emotional, negative content fuels the viral spread of news on social media. Now, what to do about it?
Analyzing nearly 30 million posts, Stanford scholars reveal how emotional, negative content fuels the viral spread of news on social media. Now, what to do about it?
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.
AI expert Gary Marcus references HAI's study showing that LLM responses to medical questions highly vary and are often inaccurate.
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.