LLMs or Naive Bayes? Old Gems or New Ways
arXiv 2609.13185v1•4134fe4b45ef03779f8800a6da1d9d9ca483f248a46a463b131c506ab1adb833
Paper metadata
- arXiv ID
- 2609.13185
- Version
- v1
- Category
- cs.AI, cs.CL, cs.DC, cs.LG
- Authors
- Mohammad Firas Sada, Dmitry Mishin, John Graham, Seungmin Kim, Mahidhar Tatineni, Frank W\"urthwein
- Publication date
- 2026-09-15T04:00:00Z
- Source identifier
- 2609.13185v1
- Public record ID
- record:sha256:4134fe4b45ef03779f8800a6da1d9d9ca483f248a46a463b131c506ab1adb833
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- 4134fe4b45ef03779f8800a6da1d9d9ca483f248a46a463b131c506ab1adb833
- Record type
- Source metadata
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