Damien Sileo

Language models struggle with lifecycle reasoning in complex systems, often faltering as interaction complexity increases, but additional inference effort can unlock significant performance gains.

Language models struggle with modal logic, often performing below baseline expectations, but a simple switch to reasoning mode can dramatically enhance their accuracy.

Reasoning Core achieves unprecedented performance in completion-supervised reasoning tasks, outpacing existing procedural datasets and revealing critical design insights for effective training.