Multi-hop reasoning collapses by 1M tokens; with a learning system it doesn't

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[ARTICLE · art-97159] src=zenodo.org ↗ pub=2026-08-14T17:42Z topic=large-language-models verified=true sentiment=· neutral

Multi-hop reasoning collapses by 1M tokens; with a learning system it doesn't

A study found that multi-hop reasoning in large language models collapses by 1 million tokens, but a learning system prevents this decline. The research highlights a critical limitation in current AI models for long-context tasks.

read1 min views1 publishedAug 14, 2026

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Timestamp: 2026-08-14T20:12:32+02:00

source & further reading

zenodo.org — original article

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