A central object in asymptotic likelihood theory is the calculation of the second-order biases of the maximum likelihood estimates (MLEs). To improve the accuracy of these estimates, substantial effort has gone into computing the cumulants of log-likelihood derivatives which are, however, notoriously cumbersome.