Papers by Yuqing Mao

3 papers
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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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.

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