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Test-Time Augmentation for LLMs: When Input Diversity Beats Output Diversity at Matched Compute
arXiv cs.LG — Machine Learning
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What the source reports
Research shows combining input transformations with output sampling improves LLM accuracy over standard self-consistency at matched compute.
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