Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees

NeurIPSSpotlight2025

Authors
Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Selecting artificial intelligence (AI) models, such as large language models (LLMs), from multiple candidates requires accurate performance estimation…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

large language model language model llm

Related NeurIPS papers

← All NeurIPS 2025 Spotlight papers · Browse the whole archive