--- title: "Feng Nan · Duke University — author profile and papers" description: "Feng Nan, Duke University: 4 papers on Elamur Research (2021–2025), h-index 5 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/feng-nan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/feng-nan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Feng Nan # Feng Nan Feng Nan has 4 papers in our library, in 2021–2025, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [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/); often with [Bing Xiang](https://md.research.elamur.ai/free/en/authors/bing-xiang/), [Dejiao Zhang](https://md.research.elamur.ai/free/en/authors/dejiao-zhang/), [Henghui Zhu](https://md.research.elamur.ai/free/en/authors/henghui-zhu/). 4 papers in our library · 2021–2025 [OpenAlex](https://openalex.org/A5102228395) · [ORCID](https://orcid.org/0009-0005-3670-9884) · [**h-index 5**](https://openalex.org/authors/A5102228395) · [22 works](https://openalex.org/works?filter=author.id:A5102228395) · [74 citations](https://openalex.org/works?filter=author.id:A5102228395&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/feng-nan/#papers) · [🔗 Cited 248 times in our library](https://md.research.elamur.ai/free/en/authors/feng-nan/cited-by/) · [⭐ Paper Stars ranking: #2942](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2942) 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=Feng+Nan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Feng+Nan) · [dblp](https://dblp.org/search?q=Feng+Nan) · [ACL Anthology](https://aclanthology.org/search/?q=Feng+Nan) ## Affiliations [🎓**Duke University** Durham · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/duke-university/) · [🎓**Shandong Jiaotong University** Jinan · China 2016–2020 · 4 papers](https://ror.org/01848hk04) · [🎓**Huai'an University** Huai'an · China 2025 · 2 papers](https://ror.org/0555ezg60) · [🎓**Chengdu University of Traditional Chinese Medicine** Chengdu · China 2023–2024 · 2 papers](https://ror.org/00pcrz470) · [🏢**China Electronics Technology Group Corporation** Beijing · China 2023–2024 · 2 papers](https://ror.org/0098hst83) · [🏥**Second Affiliated Hospital of Nanchang University** Nanchang · China 2023 · 2 papers](https://ror.org/01nxv5c88) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 5 Research subjects and languages the work is about.[Summarization · 2 works](https://md.research.elamur.ai/free/en/topics/summarization/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper Feng Nan's papers of 2025](https://md.research.elamur.ai/free/en/papers/lu-2025-toolsandbox-stateful-conversational-interactive-evaluation/) · [**2021** 3 papers Feng Nan's papers of 2021](https://md.research.elamur.ai/free/en/authors/feng-nan/year/2021/) ## Papers The most cited first (OpenAlex and our library). 1. **[Supporting Clustering with Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zhang-2021-supporting-clustering-contrastive-learning/)** *(2021 · 239 citations)* Deep clustering methods that rely on distances often fail when semantic categories overlap heavily in the embedding space at the start of training. 2. **[Entity-level Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/)** *(2021 · 205 citations)* Abstractive summarizers often hallucinate named entities, inserting people, places or organizations that never occur in the source article. ROUGE does not detect this kind of error. The authors address it with three entity-level metrics computed with spaCy NER and lenient, case-insensitive n-gram matching: 3. **[Improving Factual Consistency of Abstractive Summarization via Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2021-improving-factual-consistency-abstractive-summarization/)** *(2021 · 128 citations)* Abstractive summarizers such as fine-tuned BART-large often produce fluent summaries that are not supported by the source document or even contradict it. Standard MLE training rewards n-gram overlap, not faithfulness. The authors tackle this problem in two steps. 4. **[ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities](https://md.research.elamur.ai/free/en/papers/lu-2025-toolsandbox-stateful-conversational-interactive-evaluation/)** *(2025 · 67 citations)* ToolSandbox is a benchmark from Apple for testing how well LLMs use tools in realistic, multi-turn settings. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Bing Xiang](https://md.research.elamur.ai/free/en/authors/bing-xiang/) ×3 - [Dejiao Zhang](https://md.research.elamur.ai/free/en/authors/dejiao-zhang/) ×3 - [Henghui Zhu](https://md.research.elamur.ai/free/en/authors/henghui-zhu/) ×3 - [Kathleen McKeown](https://md.research.elamur.ai/free/en/authors/kathleen-mckeown/) ×3 - [Ramesh Nallapati](https://md.research.elamur.ai/free/en/authors/ramesh-nallapati/) ×3 - [Andrew O. Arnold](https://md.research.elamur.ai/free/en/authors/andrew-o-arnold/) ×2 - [Cicero Nogueira dos Santos](https://md.research.elamur.ai/free/en/authors/cicero-nogueira-dos-santos/) ×2 - [Zhiguo Wang](https://md.research.elamur.ai/free/en/authors/zhiguo-wang/) ×2 - [Jiarui Lu](https://md.research.elamur.ai/free/en/authors/jiarui-lu/) - [Patrick Ng](https://md.research.elamur.ai/free/en/authors/patrick-ng/) - [Ruoming Pang](https://md.research.elamur.ai/free/en/authors/ruoming-pang/) - [Shang-Wen Li](https://md.research.elamur.ai/free/en/authors/shang-wen-li/) ## 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/): [ACL 2021](https://md.research.elamur.ai/free/en/venues/acl/2021/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2021](https://md.research.elamur.ai/free/en/venues/eacl/2021/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/2025/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2021](https://md.research.elamur.ai/free/en/venues/naacl/2021/) ## Cited by Papers of our library cite their works 248 times (of the 141,840 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/feng-nan/cited-by/). Updated 24 October 2026