A team of software and information systems engineers at Ben-Gurion University of the Negev, in Israel, has demonstrated an ability to extract useful...
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A team of AI researchers and computer scientists from Cornell University, the University of Washington and the Allen Institute for Artificial Intelligence has developed a benchmarking tool called WILDHALLUCINATIONS to evaluate the factuality of multiple large language models (LLMs). The group has published a paper describing the factors that went into creating their tool on the arXiv preprint server.
A team of software and information systems engineers at Ben-Gurion University of the Negev, in Israel, has demonstrated an ability to extract useful...
Under the auspices of the Institute of Computer Science at the University of Tartu, open-source language models will be trained to speak......
The underground market for malicious large language models (LLMs) is thriving, according to researchers from Indiana University Bloomington. They...
The underground market for malicious large language models (LLMs) is thriving, according to researchers from Indiana University Bloomington. They...
A small team of AI researchers with members from the Allen Institute for AI, Stanford University, and the University of Chicago, all in the U.S., has...
Researchers at McGill University have developed a faster and more efficient way to assess the safety of bridges during earthquakes. This new method...
Choosing between Cornell University and the University of Washington for a degree in Computer Science and Information Systems involves evaluating...
A new tool for monitoring immune health patterns over time has revealed how a pair of checkpoint inhibitor therapies work together to recruit new...
Understand the role and limitations of benchmarks in LLM performance evaluation. Explore the techniques for developing robust LLMs. Large Language...
A team of Mayo Clinic researchers has developed an innovative computational tool that analyzes the gut microbiome, a complex ecosystem of trillions of...