Abstract: This study presents a comprehensive scientometric analysis of the research of abstract-based short text topic modeling. Drawing upon 701 documents retrieved from the Web of Science Core ...
At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the ...
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Abstract: Recently, developers have increasingly relied on open repositories and mail archives to build software, particularly in specialized domains where structured documentation is scarce. However, ...
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