研究方向
基于大語言模型的語義理解與文本生成；跨模态語義理解；文法糾錯
分級閱讀（http://www.chinese-pku.com）
科研/教育經曆
2005 ~ —— 講師/副教授，beat365信息科學技術學院
2003 ~ 2005， 博士後研究，beat365
2000 ~ 2003， 博士研究生，beat365
科研項目
[1] 國家自然科學基金面上項目: 面向閱讀理解的問題自動生成關鍵技術研究. 2021.01-2024.12. 主持.
[2] 國家自然科學基金面上項目: 基于文檔的智能問答的關鍵技術研究與資源建設. 2018.01-2021.12. 主持.
[3] 國家自然科學基金面上項目: 基于漢語話題的句際關系自動分析研究. 2014.01-2017.12. 主持.
[4] 國家自然科學基金青年項目: 基于詞語獨異性特征的大規模詞義标注語料庫自動構建研究. 2008.01--2010.12. 主持.
[5] 國家社科基金後期資助項目: 面向語言信息處理的現代漢語并列結構研究. 2012.01-2013.06. 主持.
[6] 國家社會科學基金青年項目: 面向網絡文本的詞語情感義自動标注研究. 2008.06--2010.12. 主持.
[7] 國家社科基金重大項目: 面向網絡文本的多視角語義分析方法、語言知識庫及平台建設研究. 2013.01-2017.12，子課題負責人。
[8] 國家863項目: 面向基礎教育的類人智能知識理解與推理關鍵技術. 2015.01-2017.12，課題骨幹。
[9] 國家863項目：面向漢語語音合成的言語語義計算模型研究. 2007.07--2009.12，副組長。
[10] 人民教育出版社合作項目: 中國兒童分級閱讀文本标準研制，2020.09--2021.12，主持
[11] 主持其他産學研合作項目7項，資源成果轉讓若幹.
科研獲獎
[1] 2011年，“綜合型語言知識庫”，國家科學技術進步二等獎.
[2] 2020年，“多情景跨領域中文文本智能校對關鍵技術及應用”，北京市科學技術進步二等獎.
Selected Publications（* Corresponding Author）
[1] Chenming Tang, Zhixiang Wang, Yunfang Wu*. SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation. EMNLP-2024.
[2] Sanwoo Lee, Yida Cai, Desong Meng, Ziyang Wang, Yunfang Wu*. Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring. Findings of EMNLP-2024.
[3] Fanyi Qu, Hao Sun, Yunfang Wu*. Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding. Findings of ACL-2024.
[4] Chenming Tang, Fanyi Qu, Yunfang Wu*. Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction. NAACL-2024.
[5] Ziyang Wang, Shanyu Li, HsiuYuan Huang, Yunfang Wu*. FPT: Feature Prompt Tuning for Few-shot Readability Assessment. NAACL-2024.
[6] Ming Zhang, Ke Chang, Yunfang Wu*. Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment. COLING-2024.
[7] Zichen Wu, HsiuYuan Huang, Fanyi Qu and Yunfang Wu*. Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding. COLING-2024.
[8] Chenming Tang, Xiuyu Wu, Yunfang Wu*. Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction? ACL-2023.
[9] Wenbiao Li, Wang Ziyang and Yunfang Wu*. A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss. EMNLP-2022.
[10] Xiuyu Wu and Yunfang Wu*. From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction. Findings of EMNLP-2022.
[11] Rui Sun, Xiuyu Wu and Yunfang Wu*. An Error-Guided Correction Model for Chinese Spelling Error Correction. Findings of EMNLP-2022.
[12] Zichen Wu, Xin Jia, Fanyi Qu and Yunfang Wu*. Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation. COLING-2022.
[13] Ming Zhang, Shuai Dou, Ziyang Wang, Yunfang Wu*. Focus-Driven Contrastive Learniang for Medical Question Summarization. COLING-2022.
[14] Xiuyu Wu, Jingsong Yu, Xu Sun and Yunfang Wu*. Position Offset Label Prediction for Grammatical Error Correction. COLING-2022.
[15] Fanyi Qu, Xin Jia, Yunfang Wu*. Asking Questions Like Educational Experts: Automatically Generating Question-Answer Pairs on Real-World Examination Data. EMNLP-2021.
[16] Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu*. EQG-RACE: Examination-Type Question Generation. AAAI-2021.
[17] Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu*. How to Ask Good Questions? Try to Leverage Paraphrases. ACL-2020.
[18] Xiaorui Zhou, Senlin Luo, Yunfang Wu*. 2020. Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension. AAAI-2020.
[19] Wenjie Zhou, Minghua Zhang, Yunfang Wu*. 2019. Multi-Task Learning with Language Modeling for Question Generation. EMNLP-2019.
[20] Wenjie Zhou, Minghua Zhang, Yunfang Wu*. 2019. Question-type Driven Question Generation. EMNLP-2019.
[21] Minghua Zhang, Yunfang Wu*, Weikang Li, Wei Li. 2018. Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. EMNLP-2018.
[22] Minghua Zhang, Yunfang Wu*. 2018. An Unsupervised Model with Attention Autoencoders for Question Retrieval. AAAI-2018.
[23] Weikang Li, Wei Li, Yunfang Wu*. 2018. A Unified Model for Document-based Question Answering based on Human-like Reading Strategy. AAAI-2018.
