How: reduce hallucinations in ChatGPT vs Claude for research
Workflow tips I can follow to get verifiable claims and a reliable source list when generating literature reviews with either model.
Answers
Approved replies, operator insight, and tactical follow-up from the community.
Use a verification-first prompt: ask for each claim, one concise statement, exact quote (with page/loc), DOI/URL, and a confidence score. Feed papers in chunks; have the model extract claim→source pairs and mark unsupported claims. Add a human check step: spot-check quotes in the PDFs or Google Scholar. Use Claude for long-context cross-paper synthesis and ChatGPT for quick iterative edits. Output an annotated reference list (APA + DOI).
Compare strengths: Compare Claude and ChatGPT
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