Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
The method has two main features: it evaluates how AI models reason through problems instead of just checking whether their ...
Understand community currencies, how they work, and their impact on local economies. Discover the benefits and challenges of ...
Jaren Jackson's first game with the Jazz will go down as the most obvious example of the team tanking with the intent to preserve a spot in the NBA lottery.
As LLMs and diffusion models power more applications, their safety alignment becomes critical. Our research shows that even minimal downstream fine‑tuning can weaken safeguards, raising a key question ...
Abstract: We present in this paper a new design method for increasing the multiplication factor of the Miller capacitance, using active components. This is achieved by connecting the output of the ...
Understanding history is not about understanding formulas or narratives. Instead, we must understand the people who made ...
Evaluation of accuracy (trueness) in a normal environment includes the three errors of sensitivity, linearity, and eccentricity, and the acceptance criterion, 0.10%, according to the error propagation ...
Leaks and Obstructions: Troubleshooting Common Problems Close to the Point of Sample Injection ...
When scientists sequence tumor DNA, they typically find small amounts of genetic code from bacteria, viruses and fungi – microorganisms that, if actually present in tumor tissues, could influence how ...
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