5 citations · 9 across the 6 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Skewed Score: A statistical framework to assess autograders
Magda Dubois, Harry Coppock, Mario Giulianelli +3
The evaluation of large language model (LLM) outputs is increasingly performed by other LLMs, a setup commonly known as "LLM-as-a-judge", or autograders. While autograders offer a…
cs.LG2022
Out-of-sample scoring and automatic selection of causal estimators
Egor Kraev, Timo Flesch, Hudson Taylor Lekunze +2
Recently, many causal estimators for Conditional Average Treatment Effect (CATE) and instrumental variable (IV) problems have been published and open sourced, allowing to estimate…