Papers by Ciyi Liu

2 papers
TacoPrompt: A Collaborative Multi-Task Prompt Learning Method for Self-Supervised Taxonomy Completion (2023.emnlp-main)

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Challenge: Existing methods for automating taxonomy completion use subtasks to learn subtask results, ignoring the effects of subtask on the final prediction.
Approach: They propose a multi-task automatic taxonomy completion method that attaches emerging concepts to an appropriate pair of hypernym and hyponym in existing taxonomies.
Outcome: The proposed method improves on three datasets and improves inference efficiency.
Bridging the Sensory Gap: Visual Injection for Taxonomy Completion (2026.acl-long)

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Challenge: Existing text-only methods suffer from a "Sensory Gap" in integrating new concepts into existing hierarchies.
Approach: They propose a framework leveraging Visual Injection for Taxonomy Completion that maps synthesized images into intrinsic pseudo-tokens and decouples magnitude from selection to prevent visual signals from being drowned out.
Outcome: Experiments on three datasets show that VITC achieves state-of-the-art performance . it delivers an average absolute gain of over 19% in Hit@1.

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