Papers by Yunfeng Song

2 papers
MuKA: Multimodal Knowledge Augmented Visual Information-Seeking (2025.coling-main)

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Challenge: Existing methods for visual information-seeking tasks rely on textual knowledge . existing methods can impair information retrieval and confuse MLLMs .
Approach: They propose a framework which leverages a multimodal knowledge base to address these limitations.
Outcome: The proposed framework outperforms state-of-the-art methods on the InfoSeek and E-VQA benchmarks.
Hate Speech Detection Based on Sentiment Knowledge Sharing (2021.acl-long)

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Challenge: Existing methods for hate speech detection are stereotyped and biased . et al., a paper examining the effectiveness of multitask learning in hate speech recognition tasks .
Approach: They propose a hate speech detection framework based on sentiment knowledge sharing . they extract affective features of the target sentence and use sentiment features from external resources .
Outcome: The proposed model can detect hate speech over two public datasets.

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