diff --git a/NEWS.md b/NEWS.md
index 4cb2d5f6..7c5b2151 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,7 @@
 # mlr3fselect (development version)
 
+* compatibility: bbotk 1.1.1
+
 # mlr3fselect 1.1.0
 
 * compatibility: mlr3 0.21.0
diff --git a/R/FSelectInstanceBatchMultiCrit.R b/R/FSelectInstanceBatchMultiCrit.R
index a710107c..c67abfd3 100644
--- a/R/FSelectInstanceBatchMultiCrit.R
+++ b/R/FSelectInstanceBatchMultiCrit.R
@@ -93,7 +93,9 @@ FSelectInstanceBatchMultiCrit = R6Class("FSelectInstanceBatchMultiCrit",
     #'
     #' @param ydt (`data.table::data.table()`)\cr
     #'   Optimal outcomes, e.g. the Pareto front.
-    assign_result = function(xdt, ydt) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, ydt, ...) {
       # Add feature names to result for easy task subsetting
       features = map(transpose_list(xdt), function(x) {
         self$objective$task$feature_names[as.logical(x)]
diff --git a/R/FSelectInstanceBatchSingleCrit.R b/R/FSelectInstanceBatchSingleCrit.R
index cc1be330..a33572d3 100644
--- a/R/FSelectInstanceBatchSingleCrit.R
+++ b/R/FSelectInstanceBatchSingleCrit.R
@@ -138,7 +138,9 @@ FSelectInstanceBatchSingleCrit = R6Class("FSelectInstanceBatchSingleCrit",
     #'
     #' @param y (`numeric(1)`)\cr
     #'   Optimal outcome.
-    assign_result = function(xdt, y) {
+    #' @param ... (`any`)\cr
+    #' ignored.
+    assign_result = function(xdt, y, ...) {
       # Add feature names to result for easy task subsetting
       feature_names = self$objective$task$feature_names
       features = list(feature_names[as.logical(xdt[, feature_names, with = FALSE])])
diff --git a/man/FSelectInstanceBatchMultiCrit.Rd b/man/FSelectInstanceBatchMultiCrit.Rd
index 82b136df..e584f81b 100644
--- a/man/FSelectInstanceBatchMultiCrit.Rd
+++ b/man/FSelectInstanceBatchMultiCrit.Rd
@@ -151,7 +151,7 @@ List of callbacks.}
 The \link{FSelector} object writes the best found feature subsets and estimated performance values here.
 For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{FSelectInstanceBatchMultiCrit$assign_result(xdt, ydt)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{FSelectInstanceBatchMultiCrit$assign_result(xdt, ydt, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -164,6 +164,9 @@ additional columns for extra information.}
 
 \item{\code{ydt}}{(\code{data.table::data.table()})\cr
 Optimal outcomes, e.g. the Pareto front.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }
diff --git a/man/FSelectInstanceBatchSingleCrit.Rd b/man/FSelectInstanceBatchSingleCrit.Rd
index fa905387..83091870 100644
--- a/man/FSelectInstanceBatchSingleCrit.Rd
+++ b/man/FSelectInstanceBatchSingleCrit.Rd
@@ -193,7 +193,7 @@ Ignored if multiple measures are used.}
 The \link{FSelector} writes the best found feature subset and estimated performance value here.
 For internal use.
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{FSelectInstanceBatchSingleCrit$assign_result(xdt, y)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{FSelectInstanceBatchSingleCrit$assign_result(xdt, y, ...)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
@@ -206,6 +206,9 @@ additional columns for extra information.}
 
 \item{\code{y}}{(\code{numeric(1)})\cr
 Optimal outcome.}
+
+\item{\code{...}}{(\code{any})\cr
+ignored.}
 }
 \if{html}{\out{</div>}}
 }