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Melanie Subbiah
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Lead author of research on evaluating large language models’ short-story summarization; sixth-year PhD student at Columbia University’s McKeown lab.
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Melanie Subbiah votes Against and says:
Models can seem like they understand a story, but their outputs are ultimately unpredictable because they rely on probabilities. A trained human literary analyst would produce consistently strong insights, but even the best model is only about 50/50—...
more Unverified source (Mar 24, 2026)