--- title: "Dayong Wu — author profile and papers — Elamur Research" description: "Dayong Wu, Chinese Academy of Sciences: 2 papers on Elamur Research (2025), h-index 23 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/dayong-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dayong-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dayong Wu # Dayong Wu Dayong Wu has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Baoxin Wang](https://md.research.elamur.ai/free/en/authors/baoxin-wang/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Guoping Hu](https://md.research.elamur.ai/free/en/authors/guoping-hu/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5011281501) · [ORCID](https://orcid.org/0000-0002-5745-253X) · [**h-index 23**](https://openalex.org/authors/A5011281501) · [66 works](https://openalex.org/works?filter=author.id:A5011281501) · [2,262 citations](https://openalex.org/works?filter=author.id:A5011281501&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dayong-wu/#papers) · [🔗 Cited 89 times in our library](https://md.research.elamur.ai/free/en/authors/dayong-wu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8688](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8688) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Dayong+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dayong+Wu) · [dblp](https://dblp.org/search?q=Dayong+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Dayong+Wu) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2001–2026 · 50 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Technical Institute of Physics and Chemistry** Beijing · China 2001–2026 · 44 papers*current*](https://ror.org/04akaak77) · [🏢**IFlyTek** Hefei · China 2019–2023 · 5 papers](https://md.research.elamur.ai/free/en/companies/iflytek/) · [🎓**Harbin Institute of Technology** Harbin · China 2010–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Hebei University of Science and Technology** Shijiazhuang · China 2024–2025 · 2 papers](https://ror.org/05h3pkk68) · [🔬**Institute of Computing Technology** Beijing · China 2014–2018 · 2 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) 🏛️**????????????** ?? · [China](https://md.research.elamur.ai/free/en/countries/china/) Employment From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Ontology engineering · 1 work](https://md.research.elamur.ai/free/en/concepts/ontology-engineering/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/dayong-wu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/)** *(2025 · 15 citations)* Approaches that couple large language models with knowledge graphs for question answering (KGQA) typically locate relevant facts through entity embeddings and graph search. 2. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/)** *(2025 · 11 citations)* The paper addresses faithfulness hallucination in retrieval-augmented long-form question answering (LFQA), where a model writes paragraph-length answers containing claims that the retrieved documents do not support or that contradict them. ## All works 6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction ↗](https://doi.org/10.1145/3404835.3462826) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Linan Yue et al.*2021 · 134 citations* 2. **[Dynamic Connected Networks for Chinese Spelling Check ↗](https://aclanthology.org/2021.findings-acl.216/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Baoxin Wang et al.*2021 · 73 citations* 3. **[Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runxuan Liu, Bei Luo, Jiaqi Li, et al.*2025 · 15 citations* 4. **[IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis ↗](https://aclanthology.org/D19-3017/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations · no summary yet**Ziyue Wang et al.*2019 · 12 citations* 5. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Huang, Xiaocheng Feng, Weitao Ma, et al.*2025 · 11 citations* 6. **[Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ↗](https://aclanthology.org/2026.acl-long.1250/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Liang Zhao et al.*2026* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Baoxin Wang](https://md.research.elamur.ai/free/en/authors/baoxin-wang/) ×2 - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) ×2 - [Guoping Hu](https://md.research.elamur.ai/free/en/authors/guoping-hu/) - [Jiaqi Li](https://md.research.elamur.ai/free/en/authors/jiaqi-li/) - [Lei Huang](https://md.research.elamur.ai/free/en/authors/lei-huang/) - [Ming Liu](https://md.research.elamur.ai/free/en/authors/ming-liu/) - [Shijin Wang](https://md.research.elamur.ai/free/en/authors/shijin-wang/) - [Weihong Zhong](https://md.research.elamur.ai/free/en/authors/weihong-zhong/) - [Weitao Ma](https://md.research.elamur.ai/free/en/authors/weitao-ma/) - [Xiachong Feng](https://md.research.elamur.ai/free/en/authors/xiachong-feng/) - [Xiaocheng Feng](https://md.research.elamur.ai/free/en/authors/xiaocheng-feng/) - [Yangfan Ye](https://md.research.elamur.ai/free/en/authors/yangfan-ye/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 - Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 - International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations ## Cited by Papers of our library cite their works 89 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dayong-wu/cited-by/). Updated 31 October 2026