arxiv
PublishedOctober 31, 2026 at 4:00 AM
"Close enough?" An investigation into multiplication errors in LLMs
Publisher summary· verbatim
arXiv:2610.38634v1 Announce Type: new Abstract: Large language models (LLMs) frequently fail at multi-digit arithmetic, but the underlying mechanisms governing these failures remain poorly understood. While recent work demonstrates that addition errors follow a "noisy quantisation" model localised a
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Originally published on arxiv ↗