HIFI: A Highly Efficient Framework for Statistical Inference with Foundation Models
arXiv:2610.34550v1 Announce Type: new Abstract: Foundation models provide powerful representations for unstructured data, such as text and images, and parameter-efficient fine-tuning (PEFT) makes their adaptation to downstream tasks increasingly practical. For neural estimators that lack a tractabl…
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- 2026-10-27 04:00 · arXiv stat.ML
HIFI: A Highly Efficient Framework for Statistical Inference with Foundation Models