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.

Scientific findings are in the news. They're cited on food packages and beverage labels. They are discussed in podcasts and ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and data manipulation. Understand its benefits and weaknesses here.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Introduction: Adaptations are common, expected, and often imperative for successful uptake and sustained implementation of clinical or public health programs in real-world practice settings.

In previous posts I shared here and elsewhere, I discussed both qualitative research and quantitative research and in this post, I talk about mixed methods research. I also created an illustrative ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. The Pew-Knight Initiative supports new research on how Americans absorb civic ...

UT researchers have developed the first viable alternative to a 75-year-old method for sequencing proteins. Image of amino acids, the building blocks of proteins. Scientists at The University of Texas ...

Abstract: The complexity and uncertainty of deep neural networks (DNN) necessitate comprehensive behavior testing for model quality assurance. Current studies generating samples via coverage criteria ...

While Catharine Krebs was working in a human-genetics laboratory during her PhD at the University of California, Los Angeles, there was a line that she got used to seeing at the end of papers: “These ...