Papers by Zhenlong Sun

2 papers
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference (2024.emnlp-main)

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Challenge: a new method to detect clickbait posts on the Web is needed to detect such posts.
Approach: They propose a method to detect clickbait posts on the Web using latent factors . they use features in multiple modalities to characterize the posts and causal inference to eliminate noise .
Outcome: The proposed method can detect clickbait posts on popular social media platforms with good generalization ability.
Better Pre-Training by Reducing Representation Confusion (2023.findings-eacl)

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Challenge: Existing methods to improve pre-trained language models address information confusion in position encoding and model representations.
Approach: They propose two techniques to improve pre-trained language models by decoupling directions and auxiliary regularizers.
Outcome: The proposed techniques can improve pre-trained language models on GLUE benchmarks.

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