Open-ended preference data reveals substantial plurality in what people want from AI and divergent interpretations of shared values such as truthfulness.
ISBN 9798400710940
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces a benchmark dataset for data snapshot extraction focused on semantically meaningful analytical artifacts in institutional documents and shows open-source layout models struggle to generalize from academic benchmarks.
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What Do People Actually Want From AI? Mapping Preference Plurality
Open-ended preference data reveals substantial plurality in what people want from AI and divergent interpretations of shared values such as truthfulness.
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Benchmarking Open-Source Layout Detection Models for Data Snapshot Extraction from Institutional Documents
Introduces a benchmark dataset for data snapshot extraction focused on semantically meaningful analytical artifacts in institutional documents and shows open-source layout models struggle to generalize from academic benchmarks.