most-models-claiming-long-contexts-fail-well-before CLM-0097mechanismsingle paperReviewed by AI and Russ Miller
Most models claiming long contexts fail well before their advertised length on synthetic retrieval, tracing and aggregation tasks.
Capability: Losing information in long inputs
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- Most models claiming long contexts fail well before their advertised length on synthetic retrieval, tracing and aggregation tasks.
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Related claims
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- Accuracy on a fact scales with how many pretraining documents mention it, so long-tail facts are systematically unreliable.Stating false facts confidently
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