UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: The rapid expansion of email usage has been paralleled by a significant rise in spam, which not only clutters inboxes but also spreads malware and introduces serious security threats. While ...
Abstract: The rapid spread of fake news has become a critical challenge in the digital era, influencing public perception, political decisions, and societal discourse. Traditional fake news detection ...
Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...
Artificial intelligence has notorious problems with accuracy — so maybe it’s not surprising that using it as a coding assistant creates more security problems, too. As a security firm called Apiiro ...
Firms must mitigate risks and overcome operational challenges to unlock agentic AI’s transformational potential. In association withEY Agentic AI is coming of age. And with it comes new opportunities ...
To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...
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