Papers by Ruyuan Wan
"Newspaper Eat" Means "Not Tasty": A Taxonomy and Benchmark for Coded Language in Real-World Chinese Online Reviews (2026.acl-long)
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| Challenge: | Current language models handle coded language poorly, with limited real-world datasets and clear taxonomies. |
| Approach: | They propose a taxonomy that captures common encoding strategies including phonetic, orthographic, and cross-lingual substitutions. |
| Outcome: | The proposed model fails to detect or understand coded language in Chinese reviews . negative reviews can expose users to social pressure, retaliation, or reduced visibility . |
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds (2024.emnlp-main)
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| Challenge: | Existing algorithms for detecting logical fallacies in texts are expensive and require large-scale labeled datasets. |
| Approach: | They introduce CoCoLoFa, the largest known logical fallacy dataset, with 7,706 comments for 648 news articles labeled for fallacy presence and type. |
| Outcome: | The proposed dataset outperforms state-of-the-art LLMs in fallacy detection and classification. |