Multitask prompt tuning enables parameter-efficient transfer learning
Prompt tuning, in which a base pretrained model is adapted to each task via conditioning on
learned prompt vectors, has emerged as a promising approach for efficiently adapting large …
learned prompt vectors, has emerged as a promising approach for efficiently adapting large …
Understand the dynamic world: An end-to-end knowledge informed framework for open domain entity state tracking
Open domain entity state tracking aims to predict reasonable state changes of entities
(ie,[attribute] of [entity] was [before_state] and [after_state] afterwards) given the action …
(ie,[attribute] of [entity] was [before_state] and [after_state] afterwards) given the action …
Computational Lexical Resources for Explainable Natural Language Understanding
G Kazeminejad - 2023 - search.proquest.com
Procedural texts describe dynamic state changes that occur during a step-by-step process
(eg an instruction manual, photosynthesis, or a baking recipe). As a subtask of procedural …
(eg an instruction manual, photosynthesis, or a baking recipe). As a subtask of procedural …