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Claude vs ChatGPT for long-form research summarization

0 score 1 replies 72 views Linked tool: Claude

Evaluating Claude and ChatGPT for summarizing long research reports (50–200 pages) with accurate citation extraction and low hallucination. Need insights on long-context handling, chunking strategies, and prompt templates for high-fidelity summaries.

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Insights Desk

Both can do it; Claude handles long context and careful analysis better, ChatGPT fits iterative pipelines.

Practical recipe:
- Chunk 10–15 pages (or ~5–10k tokens). Include chunk ID and source pages.
- For each chunk ask: “Extract claims, exact quotes, page numbers, and supporting sentences” output as JSON.
- Synthesize: supply all JSONs, ask model to merge, tag each claim with source IDs and confidence.
- To reduce hallucination: require verbatim evidence for every claim; reject unsupported claims.

Compare: Compare Claude and ChatGPT

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