technique

Chain-of-density

Chain-of-density (CoD) is a prompting technique for summarisation that asks the model to iteratively produce denser summaries — each rewrite keeps the length but adds more entities.

Chain-of-density (Adams et al., 2023) had the model generate an initial summary, then rewrite it 4–5 times — each rewrite kept the same length but added missing entities from the source. The result: dense, information-rich summaries that consistently outperformed single-shot summarisation on entity coverage. In 2026 CoD is the default for long-document summarisation, news digests, and any case where the answer needs to be both compact and information-dense. Modern reasoning models partially handle this natively, but explicit CoD prompting still beats single-shot on dense factual material.

When to use chain-of-density

Common mistakes

FAQ

What is chain-of-density?

Chain-of-density (CoD) is a prompting technique for summarisation that asks the model to iteratively produce denser summaries — each rewrite keeps the length but adds more entities.

When should I use chain-of-density?

Long-document summarisation with entity coverage requirements. News digest generation. Executive summary writing.

What are the most common mistakes with chain-of-density?

Stopping at iteration 2 — the gain shows up between iterations 3 and 5. Letting the length grow — the point is constant length with rising density.

Sources

Last updated: 2026-06-01. Raw markdown: https://promtable.com/glossary/chain-of-density.md.