Abstract: An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.

Abstract: An item generation interface may generate knowledge assessment items directed a subject area based on a set of model items collectively directed to the subject area. The item generation interface may group the set of model assessment items into a plurality of similar item groups using numeric features corresponding to the model assessment items. Similar item groups may include model assessment items covering conceptually similar concepts within the subject area. A conditioning input may be generated for each of the item groups based on the numeric features corresponding to the model assessment items in the item group. Responsive to providing the conditioning inputs to a transformer-based natural language generation model, the item generation interface may receive raw assessment items from the transformer-based natural language generation model. Knowledge assessment items may be identified from the raw assessment items.