Quantifying and Understanding Uncertainty in Large Reasoning Models

Implement a Conformal Prediction framework specifically for Large Reasoning Models to provide statistically rigorous confidence bounds. This tool should wrap existing reasoning chains to output an uncertainty score alongside answers.

Suggested repo: confideReason

"Quantify your agent's reasoning confidence with distribution-free guarantees."

Estimated effort: 40h