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papersTODAY 04:00 UTC

Study compares Complement Naive Bayes with zero- and few-shot LLMs

A new arXiv paper benchmarks Complement Naive Bayes against large language models used in zero-shot and few-shot settings, spanning four model families and a much larger classical baseline dataset. The authors ask whether classical methods like Naive Bayes should be retired as LLMs become more common in research computing. The results offer an empirical comparison of accuracy and cost between the two approaches.

arXiv Complement Naive Bayes Naive Bayes few-shot learning large-language-models zero-shot learning

COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLLLMs or Naive Bayes? Old Gems or New Ways ↗TODAY 04:00 UTC

arXiv cs.AILLMs or Naive Bayes? Old Gems or New Ways ↗TODAY 04:00 UTC

arXiv cs.LGLLMs or Naive Bayes? Old Gems or New Ways ↗TODAY 04:00 UTC