Robust forecast aggregation via additional queries

This article likely discusses a research paper on improving forecast accuracy by using additional queries. The focus is on how to aggregate forecasts more effectively, potentially in the context of large language models (LLMs). The use of 'robust' suggests the method aims to be resilient to noise or errors in the initial forecasts.