Papers by Yuqian Sun

2 papers
LLMs Behind the Scenes: Enabling Narrative Scene Illustration (2025.emnlp-main)

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Challenge: Generative AI has established the ability to readily transform content from one medium to another.
Approach: They propose a pipeline that uses large language models to prompt text-to-image models to generate scenes for story text.
Outcome: The proposed pipeline synthesizes illustrations for scenes in a story corpus using human annotation tasks.
Unified Dual-view Cognitive Model for Interpretable Claim Verification (2021.acl-long)

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Challenge: Existing studies constructing direct interactions between the claim and each single user response to capture evidence have shown remarkable success in interpretable claim verification.
Approach: They propose a Dual-view model based on the views of Collective and Individual Cognition (CICD) that captures word-level semantics based . on individual cognition, they adjust the proportion between them to generate global evidence.
Outcome: The proposed model is based on the views of collective and individual cognition and achieves state-of-the-art performance on three benchmark datasets.

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