Search result for:
Charles Dickens
Title: Applied Research Scientist
Company: Snorkel AI
Bio
My general research interests are in machine learning, modeling richly structured graph data, and enhancing artificial intelligence systems with symbolic reasoning capabilities. I have developed models for a variety of applications, including computer vision, language modeling, social networks, demand forecasting, and recommender systems.
The latest from
Charles Dickens
The science of rubric design
Part 3 of our rubric series explains the science of rubric design. We show why rubrics should be treated like models—structured, measured, and iterated—to maximize objective alignment and inter-rater agreement. Learn how to choose hierarchy and scale points, track agreement (IAA) and LLMAJ alignment, and refine with domain experts, with examples like PaperBench and HealthBench.
See how Snorkel can help you get up to:
100x
Faster Data Curation
40x
Faster Model Delivery
99%
Model Accuracy