AI Research
Catch It Where It Happens: Real Time Error Correction During LLM Reasoning
The challenge of correcting LLM mistakes as they arise
Large language models (LLMs) are increasingly trusted with mathematical, scientific and engineering work, yet their mistakes are often confidently written and hard to spot.
AC
ArXiv CS.CL
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2 min
ArXiv CS.CL
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Catching mistakes during reasoning could make LLMs more reliable for demanding technical work. This matters because errors can be delivered confidently and remain difficult to identify.
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