Papers by Zhongli Ding
Enhancing User Safety: Context-Aware Detection of Offensive Query-Ad Pairs in Multimodal Search Advertising (2026.eacl-industry)
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Gaurav Kumar, Qiangjian Xi, Tanmaya Shekhar Dabral, Hooshang Ghasemi, Abishek Krishnamoorthy, Danqing Fu, Rui Min, Emilio Antunez, Zhongli Ding, Pradyumna Narayana
| Challenge: | Multi-modal online advertisements require robust content moderation to ensure user safety . key challenges include nuanced, multi-modal nature of ads, severe data scarcity and class imbalance due to the rarity of offensive content . |
| Approach: | They propose a framework that detects offensive content only when a user's search query is paired with a specific ad . |
| Outcome: | The proposed framework reduces the serving of offensive query-ad pairs by more than 80% while maintaining the efficiency required for real-time advertising systems. |
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction (2022.findings-emnlp)
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Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Li Yangning, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen
| Challenge: | Chinese Grammatical Error Correction (CGEC) is a challenging NLP task and a common application in human daily life. |
| Approach: | They propose a linguistic rules-based approach to construct large-scale CGEC training corpora with automatically generated grammatical errors. |
| Outcome: | The proposed method improves performance of existing CGEC models and the benchmark is excellent resource for further development. |