InFerActive: Scalable Human Evaluation of Large Language Models via Interactive Inference

The article introduces InFerActive, a method for more efficiently evaluating Large Language Models (LLMs) by incorporating interactive inference. This approach likely aims to improve the scalability and reliability of human evaluations, which are often a bottleneck in LLM development. The focus on interactive inference suggests a move towards more dynamic and nuanced evaluation methods, potentially allowing for a deeper understanding of LLM capabilities and limitations.