Papers by Yuqing Mao
CSL: A Large-scale Chinese Scientific Literature Dataset (2022.coling-1)
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| Challenge: | Existing datasets centered around the English language restrict development of Chinese scientific NLP. |
| Approach: | They present a large-scale Chinese scientific literature dataset based on Chinese papers . they use semi-structured data as a natural annotation for many supervised NLP tasks . |
| Outcome: | The proposed dataset can serve as a Chinese corpus and perform many supervised tasks. |
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering (2025.emnlp-main)
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Zihan Wang, Zihan Liang, Zhou Shao, Yufei Ma, Huangyu Dai, Ben Chen, Lingtao Mao, Chenyi Lei, Yuqing Ding, Han Li
| Challenge: | Retrieval-Augmented Generation (RAG) frameworks struggle with identifying whether retrieved documents meaningfully contribute to answer generation. |
| Approach: | They propose a document-related metric to quantify the contribution of retrieved documents to correct answer generation. |
| Outcome: | The proposed framework outperforms existing approaches on both single and multiple retrieval paradigms. |
Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion (2023.findings-emnlp)
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| Challenge: | a gap exists between research output and real-world task for automated NLP systems . a recent study shows that powerful models alone will not yield translational NLP solutions . |
| Approach: | They propose a formulation for UMLS vocabulary insertion which mirrors the real-world task . they propose measurable qualitative improvements to editors who carry out the UVI task based on strong datasets . |
| Outcome: | The proposed model outperforms existing models and improves the UVI task. |