3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Bias and Uncertainty in LLM-as-a-Judge Estimation
James Fiedler
LLM-as-a-Judge evaluation has become a standard tool for assessing base model performance. However, characterizing performance via the naive estimator, i.e., raw judge outputs, is…
cs.LG2021★ 3 cited
Simple Modifications to Improve Tabular Neural Networks
James Fiedler
There is growing interest in neural network architectures for tabular data. Many general-purpose tabular deep learning models have been introduced recently, with performance someti…