Papers by Jialiang Huang

2 papers
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings (2025.findings-acl)

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Challenge: Recent studies show that character substitutions in toxic Chinese text can confuse state-of-the-art LLMs.
Approach: They propose a taxonomy of 3 perturbation strategies and 8 specific approaches in Chinese text to assess if they can detect perturbed Chinese toxic contents.
Outcome: The proposed model can detect perturbed Chinese text with 8 different approaches . the proposed model is compared with 9 other LLMs from the US and China .
Stylized Story Generation with Style-Guided Planning (2021.findings-acl)

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Challenge: Current storytelling systems focus more on generating stories with coherent plots regardless of the narration style.
Approach: They propose a novel task, stylized story generation, that first plans stylized keywords and then generates the whole story with the guidance of the keywords.
Outcome: The proposed model can generate emotion-driven or event-driven stories based on the ROCStories dataset .

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