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News/INCONVENIENT: A Benchmark to Assess LLM Generalization Capabilities from Convenience Samples
arxiv
PublishedOctober 16, 2026 at 4:00 AM

INCONVENIENT: A Benchmark to Assess LLM Generalization Capabilities from Convenience Samples

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arXiv:2610.21038v1 Announce Type: cross Abstract: Machine learning models for tabular prediction typically assume that training data are representative of the population on which they will be deployed. In practice, however, data are often collected based on convenience, availability, or cost, result

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