How can we train models to perform well on hard test data when hard training data is by
definition difficult to label correctly? This question has been termed the scalable oversight …

Accounting account codes are created within a specific logic framework to systematically
and accurately record a company's financial transactions. Currently, accounting reports are …

Transformers generalize to novel compositions of structures and entities after being trained
on a complex dataset, but easily overfit on datasets of insufficient complexity. We observe …

Although modern neural networks often generalize to new combinations of familiar
concepts, the conditions that enable such compositionality have long been an open …

Human intelligence demonstrates compositionality, the algebraic capacity that enables us to
understand and produce a potentially infinite number of novel combinations of known …

Advanced learning techniques have revolutionized the fields of object recognition and
diagnostics, driving significant enhancements in accuracy and efficiency. Our proposed …