diff --git a/R/fit.R b/R/fit.R
index b16b260f..b1c99e97 100644
--- a/R/fit.R
+++ b/R/fit.R
@@ -457,7 +457,7 @@ CmdStanFit$set("public", name = "grad_log_prob", value = grad_log_prob)
 #'   [unconstrain_variables()], [unconstrain_draws()], [variable_skeleton()],
 #'   [hessian()]
 #'
-hessian <- function(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = TRUE) {
+hessian <- function(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = NULL) {
   if (!is.null(jacobian_adjustment)) {
     warning("'jacobian_adjustment' is deprecated. Please use 'jacobian' instead.", call. = FALSE)
     jacobian <- jacobian_adjustment
diff --git a/man/fit-method-hessian.Rd b/man/fit-method-hessian.Rd
index 9dd54830..8076a889 100644
--- a/man/fit-method-hessian.Rd
+++ b/man/fit-method-hessian.Rd
@@ -6,7 +6,7 @@
 \title{Calculate the log-probability , the gradient w.r.t. each input, and the hessian
 for a given vector of unconstrained parameters}
 \usage{
-hessian(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = TRUE)
+hessian(unconstrained_variables, jacobian = TRUE, jacobian_adjustment = NULL)
 }
 \arguments{
 \item{unconstrained_variables}{(numeric) A vector of unconstrained parameters.}
diff --git a/tests/testthat/test-model-methods.R b/tests/testthat/test-model-methods.R
index c7879288..c3607f7b 100644
--- a/tests/testthat/test-model-methods.R
+++ b/tests/testthat/test-model-methods.R
@@ -3,7 +3,7 @@ context("model-methods")
 set_cmdstan_path()
 mod <- cmdstan_model(testing_stan_file("bernoulli_log_lik"), force_recompile = TRUE)
 data_list <- testing_data("bernoulli")
-fit <- mod$sample(data = data_list, chains = 1)
+fit <- mod$sample(data = data_list, chains = 1, refresh = 0)
 
 test_that("Methods error if not compiled", {
   skip_if(os_is_wsl())