2 citations · 4 across the 4 of their papers we have counts for
5 papers
When Evaluators Cry Wolf: Lessons from Production LLM-as-Judge Evaluation in Educational AI
Chris Rohlfs, Rodrigo Vergara Bosse, Priscilla Rain Hopper +2
MagicSchool's K-12 AI product suite is used by millions of teachers and serves millions of teacher and student messages each month. Our team monitors output along four priority dim…
Forbidden Knowledge and Specialized Training: A Versatile Solution for the Two Main Sources of Overfitting in Linear Regression
Chris Rohlfs
Overfitting in linear regression is broken down into two main causes. First, the formula for the estimator includes 'forbidden knowledge' about training observations' residuals, an…
A descriptive analysis of olfactory sensation and memory in Drosophila and its relation to artificial neural networks
Chris Rohlfs
This article provides a background and descriptive analysis of insect memory and the coding of olfactory sensation in Drosophila, presenting graphs and summary statistics from a la…
Generalization in Neural Networks: A Broad Survey
Chris Rohlfs
This paper reviews concepts, modeling approaches, and recent findings along a spectrum of different levels of abstraction of neural network models including generalization across (…
Problem-dependent attention and effort in neural networks with applications to image resolution and model selection
Chris Rohlfs
This paper introduces two new ensemble-based methods to reduce the data and computation costs of image classification. They can be used with any set of classifiers and do not requi…