This project examines how language models organize intermediate reasoning. We study sentence boundaries, thought structures, and generation rhythms as factors that shape capability and interpretability.
Research Questions
We ask when explicit linguistic structure helps models form more stable reasoning paths, and whether these gains generalize across tasks and model scales.
Current Work
Our current work covers structured reasoning methods, capability-boundary analysis, and systematic comparisons of generation strategies.