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LLM Failure Modes·Artificial Intelligence
lost in the middle

lost in the middle

/ˌlɒst ɪn ðə ˈmɪdl/

⚠️ LLM Failure Modes

the tendency to miss information buried midway through a long context

lost in the middle in a sentence

“The clause was in the brief verbatim, but lost in the middle, the model never cited it.”

Origin of lost in the middle

named in position-bias studies of long contexts (Liu et al., 2023)

Related Words

refusal

a model declining a request, sometimes wrongly, when it misreads intent as harmful

data contamination

test material leaking into training data, inflating benchmark scores

prompt leakage

a model revealing its hidden system prompt when coaxed

hallucination

generating plausible-sounding but factually incorrect or fabricated information

sycophancy

over-agreeing with users and telling them what they want to hear rather than the truth

confabulation

filling gaps in knowledge with plausible but invented details

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