MINCE: Shrinking LLM Evaluation Datasets via Few-Model Monte Carlo Calibration.

arXiv:2606.22826v2 Announce Type: replace Abstract: Evaluating LLMs across many model variants---quantized, fine-tuned, or deployment-specific---requires running large benchmarks repeatedly, a process that can take tens of hours per model on edge hardware such