diff --git a/NEWS.md b/NEWS.md
index 9a862e3..48c149e 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,6 @@
 # workflowsets (development version)
 
+* Ellipses (...) are now used consistently in the package to require optional arguments to be named; `collect_metrics()` and `collect_predictions()` are the only functions that received changes (#151, tidymodels/tune#863).
 * Enabled evaluating censored regression models (#139, #144). The placement of 
   the new `eval_time` argument to `rank_results()` breaks passing-by-position 
   for the `select_best` argument.
diff --git a/R/collect.R b/R/collect.R
index ba9f372..7eec336 100644
--- a/R/collect.R
+++ b/R/collect.R
@@ -4,6 +4,7 @@
 #'
 #' @param x A [`workflow_set`][workflow_set()] object that has been evaluated
 #' with [workflow_map()].
+#' @param ... Not currently used.
 #' @param summarize A logical for whether the performance estimates should be
 #'  summarized via the mean (over resamples) or the raw performance values (per
 #'  resample) should be returned along with the resampling identifiers. When
@@ -17,7 +18,6 @@
 #' are retained. If `TRUE`, the `parameters` argument is ignored.
 #' @param metric A character string for the metric that is used for
 #' `select_best`.
-#' @param ... Not currently used.
 #' @return A tibble.
 #' @details
 #'
@@ -57,7 +57,8 @@
 #'
 #' collect_metrics(two_class_res, summarize = FALSE)
 #' @export
-collect_metrics.workflow_set <- function(x, summarize = TRUE, ...) {
+collect_metrics.workflow_set <- function(x, ..., summarize = TRUE) {
+  rlang::check_dots_empty()
   check_incompete(x, fail = TRUE)
   check_bool(summarize)
   x <-
@@ -98,8 +99,9 @@ reorder_cols <- function(x) {
 #' @export
 #' @rdname collect_metrics.workflow_set
 collect_predictions.workflow_set <-
-  function(x, summarize = TRUE, parameters = NULL, select_best = FALSE,
-           metric = NULL, ...) {
+  function(x, ..., summarize = TRUE, parameters = NULL, select_best = FALSE,
+           metric = NULL) {
+    rlang::check_dots_empty()
     check_incompete(x, fail = TRUE)
     check_bool(summarize)
     check_bool(select_best)
diff --git a/man/collect_metrics.workflow_set.Rd b/man/collect_metrics.workflow_set.Rd
index 29fb693..f71d0b0 100644
--- a/man/collect_metrics.workflow_set.Rd
+++ b/man/collect_metrics.workflow_set.Rd
@@ -6,15 +6,15 @@
 \alias{collect_notes.workflow_set}
 \title{Obtain and format results produced by tuning functions for workflow sets}
 \usage{
-\method{collect_metrics}{workflow_set}(x, summarize = TRUE, ...)
+\method{collect_metrics}{workflow_set}(x, ..., summarize = TRUE)
 
 \method{collect_predictions}{workflow_set}(
   x,
+  ...,
   summarize = TRUE,
   parameters = NULL,
   select_best = FALSE,
-  metric = NULL,
-  ...
+  metric = NULL
 )
 
 \method{collect_notes}{workflow_set}(x, ...)
@@ -23,14 +23,14 @@
 \item{x}{A \code{\link[=workflow_set]{workflow_set}} object that has been evaluated
 with \code{\link[=workflow_map]{workflow_map()}}.}
 
+\item{...}{Not currently used.}
+
 \item{summarize}{A logical for whether the performance estimates should be
 summarized via the mean (over resamples) or the raw performance values (per
 resample) should be returned along with the resampling identifiers. When
 collecting predictions, these are averaged if multiple assessment sets
 contain the same row.}
 
-\item{...}{Not currently used.}
-
 \item{parameters}{An optional tibble of tuning parameter values that can be
 used to filter the predicted values before processing. This tibble should
 only have columns for each tuning parameter identifier (e.g. \code{"my_param"}