--- title: "Duke University — research, people and papers" description: "Duke University (Durham, United States): 14 works on the Elamur Research site, 8 people with a page, 14,262 citations; its topics, units and the…" canonical: "https://research.elamur.ai/free/en/universities/duke-university/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/duke-university/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [universities](https://md.research.elamur.ai/free/en/universities/) / Duke University # Duke University University Durham, United States - [Website](https://duke.edu) - [ROR](https://ror.org/00py81415) - [OpenAlex](https://openalex.org/I170897317) - [Wikidata](https://www.wikidata.org/wiki/Q168751) [**14** works in our library](https://md.research.elamur.ai/free/en/universities/duke-university/#works) · [**8** authors with a page](https://md.research.elamur.ai/free/en/universities/duke-university/authors/) · [**14,262** citations of these works](https://md.research.elamur.ai/free/en/universities/duke-university/#works) · [**2,011** citations in our library](https://md.research.elamur.ai/free/en/universities/duke-university/#works) ## People (8) Authors with a page here who worked or studied at Duke University, confirmed by their records or by their bylines: first those whose cited work was done most here; beside each, their citations. - [Cynthia Rudin](https://md.research.elamur.ai/free/en/authors/cynthia-rudin/) — current · 2011–2026 on 207 papers · employment (Wikidata) · 3 papers here · 10,684 citations - [Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/) — 2015–2018 on 18 papers · 12 papers here · 12,266 citations - [Lawrence Carin](https://md.research.elamur.ai/free/en/authors/lawrence-carin/) — current · 1995–2025 on 671 papers · 2 papers here · 2,185 citations - [Yizhe Zhang](https://md.research.elamur.ai/free/en/authors/yizhe-zhang/) — 2015–2021 on 16 papers · 6 papers here · 4,065 citations - [Sam Wiseman](https://md.research.elamur.ai/free/en/authors/sam-wiseman/) — current · 2021–2024 on 12 papers · 10 papers here · 3,782 citations - [Dinghan Shen](https://md.research.elamur.ai/free/en/authors/dinghan-shen/) — 2017–2020 on 29 papers · 2 papers here · 2,173 citations - [Guoyin Wang](https://md.research.elamur.ai/free/en/authors/guoyin-wang/) — 2017–2023 on 23 papers · 5 papers here · 2,809 citations - [Amit Bagga](https://md.research.elamur.ai/free/en/authors/amit-bagga/) — 1995–1998 on 7 papers · 4 papers here · 1,074 citations **Also published with this affiliation (29)** Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work. - [Chris Brockett](https://md.research.elamur.ai/free/en/authors/chris-brockett/) — 2020–2021 on 2 papers · 10 papers here · 8,615 citations - [Bill Dolan](https://md.research.elamur.ai/free/en/authors/bill-dolan/) — 2020–2021 on 2 papers · 11 papers here · 8,455 citations - [Bhuwan Dhingra](https://md.research.elamur.ai/free/en/authors/bhuwan-dhingra/) — current · 2022–2026 on 62 papers · 8 papers here · 3,881 citations - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) — 2020–2023 on 6 papers · 8 papers here · 7,123 citations - [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) — 2024 on 2 papers · 14 papers here · 6,440 citations - [Michael I. Jordan](https://md.research.elamur.ai/free/en/authors/michael-i-jordan/) — 2008–2009 on 2 papers · 2 papers here · 32,366 citations - [Noam Shazeer](https://md.research.elamur.ai/free/en/authors/noam-shazeer/) — 2021 on 2 papers · 7 papers here · 19,972 citations - [Manaal Faruqui](https://md.research.elamur.ai/free/en/authors/manaal-faruqui/) — current · 2026 on 1 paper · 5 papers here · 10,157 citations - [Zhe Gan](https://md.research.elamur.ai/free/en/authors/zhe-gan/) — 2015–2021 on 27 papers · 5 papers here · 5,656 citations - [Kevin Lin](https://md.research.elamur.ai/free/en/authors/kevin-lin/) — 2014–2024 on 20 papers · 6 papers here · 4,642 citations - [Xiaodan Zhu](https://md.research.elamur.ai/free/en/authors/xiaodan-zhu/) — 2018–2023 on 6 papers · 4 papers here · 3,710 citations - [Jianfeng Lu](https://md.research.elamur.ai/free/en/authors/jianfeng-lu/) — 2017–2025 on 2 papers · 2 papers here · 2,067 citations - [Yushi Bai](https://md.research.elamur.ai/free/en/authors/yushi-bai/) — 2011–2022 on 10 papers · 3 papers here · 1,856 citations - [Zifan Wang](https://md.research.elamur.ai/free/en/authors/zifan-wang/) — 2024–2025 on 5 papers · 2 papers here · 1,855 citations - [Ming Yin](https://md.research.elamur.ai/free/en/authors/ming-yin/) — current · 2026 on 2 papers · 2 papers here · 1,828 citations - [Pan Zhang](https://md.research.elamur.ai/free/en/authors/pan-zhang/) — 2020–2022 on 2 papers · 3 papers here · 1,599 citations - [Qifan Wang](https://md.research.elamur.ai/free/en/authors/qifan-wang/) — 2024 on 2 papers · 2 papers here · 1,546 citations - [Robert Dale](https://md.research.elamur.ai/free/en/authors/robert-dale/) — 1979–1983 on 3 papers · 5 papers here · 1,381 citations - [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) — 2019–2024 on 26 papers · 2 papers here · 1,210 citations - [Paul Cook](https://md.research.elamur.ai/free/en/authors/paul-cook/) — 1996–1998 on 2 papers · 5 papers here · 1,019 citations - [Hongxia Yang](https://md.research.elamur.ai/free/en/authors/hongxia-yang/) — 2011–2025 on 4 papers · 2 papers here · 966 citations - [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/) — 2020–2021 on 4 papers · 5 papers here · 909 citations - [Joyce Chai](https://md.research.elamur.ai/free/en/authors/joyce-chai/) — 1995–1997 on 4 papers · education (Wikidata) · 2 papers here · 825 citations - [David Dale](https://md.research.elamur.ai/free/en/authors/david-dale/) — 2003–2010 on 11 papers · 3 papers here · 801 citations - [Philip Williams](https://md.research.elamur.ai/free/en/authors/philip-williams/) — 1950–1953 on 4 papers · 2 papers here · 770 citations [All of them →](https://md.research.elamur.ai/free/en/universities/duke-university/authors/) ## Works in our library (14) The most cited first (OpenAlex citations plus our library's). - [Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead](https://md.research.elamur.ai/free/en/papers/rudin-2018-stop-explaining-black-box/) — Cynthia Rudin · 2018 · 10,427 citations - [What Makes Good In-Context Examples for GPT-3?](https://md.research.elamur.ai/free/en/papers/liu-2022-what-makes-good-context-examples/) — Jiachang Liu, Dinghan Shen, Yizhe Zhang, et al. · 2022 · 1,235 citations - [Entity-Based Cross-Document Coreferencing Using the Vector Space Model](https://md.research.elamur.ai/free/en/papers/bagga-1998-entity-based-cross-document-coreferencing/) — Amit Bagga, Breck Baldwin · 1998 · 699 citations - [Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms](https://md.research.elamur.ai/free/en/papers/shen-2018-baseline-needs-more-love-simple/) — Dinghan Shen, Guoyin Wang, Wenlin Wang, et al. · 2018 · 383 citations - [PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts](https://md.research.elamur.ai/free/en/papers/zhu-2023-promptrobust-towards-evaluating-robustness-large/) — Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al. · 2023 · 301 citations - [Contextualized Perturbation for Textual Adversarial Attack](https://md.research.elamur.ai/free/en/papers/li-2021-contextualized-perturbation-textual-adversarial-attack/) — Dianqi Li, Yizhe Zhang, Hao Peng, et al. · 2021 · 282 citations - [ASQA: Factoid Questions Meet Long-Form Answers](https://md.research.elamur.ai/free/en/papers/stelmakh-2022-asqa-factoid-questions-meet-long/) — Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, et al. · 2022 · 239 citations - [Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) — Long Phan, Alice Gatti, Ziwen Han, et al. · 2025 · 235 citations - [TrustLLM: Trustworthiness in Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) — Yue Huang, Lichao Sun, Haoran Wang, et al. · 2024 · 226 citations - [SummScreen: A Dataset for Abstractive Screenplay Summarization](https://md.research.elamur.ai/free/en/papers/chen-2022-summscreen-dataset-abstractive-screenplay-summarization/) — Mingda Chen, Zewei Chu, Sam Wiseman, et al. · 2022 · 136 citations - [On Generalization in Coreference Resolution](https://md.research.elamur.ai/free/en/papers/toshniwal-2021-generalization-coreference-resolution/) — Shubham Toshniwal, Patrick Xia, Sam Wiseman, et al. · 2021 · 62 citations - [Seq2seq is All You Need for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/zhang-2023-seq2seq-is-all-you-need/) — Wenzheng Zhang, Sam Wiseman, Karl Stratos · 2023 · 32 citations - [Critical biblical studies via word frequency analysis: unveiling text authorship](https://md.research.elamur.ai/free/en/papers/faigenbaum-golovin-2024-critical-biblical-studies-word-frequency/) — Shira Faigenbaum-Golovin, Alon Kipnis, Axel Buhler, et al. · 2024 · 3 citations - [The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation](https://md.research.elamur.ai/free/en/papers/agnew-2023-mechanical-bard-interpretable-machine-learning/) — Edwin Agnew, Michelle Qiu, Lily Zhu, et al. · 2023 · 2 citations ## Topics What its works here are about; the number is its works on the topic. [Language models & pretraining 3](https://md.research.elamur.ai/free/en/topics/language-models/) · [Coreference resolution 2](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Summarization 1](https://md.research.elamur.ai/free/en/topics/summarization/) · [Hebrew & Aramaic 1](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Bias, fairness & safety 1](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) Fields: [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) (7) · [Linguistics & languages](https://md.research.elamur.ai/free/en/shelves/linguistics/) (3) · [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/) (1) · [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) (1) · [Mathematics & statistics](https://md.research.elamur.ai/free/en/shelves/mathematics/) (1) ## Collaborates with Institutions on the bylines of the same works here; the number is the works they share. [Google 2](https://md.research.elamur.ai/free/en/companies/google/) [Stanford University 2](https://md.research.elamur.ai/free/en/universities/stanford-university/) [University of California, Berkeley 2](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) [Meta 1](https://md.research.elamur.ai/free/en/companies/meta/) [University of Washington 2](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [University of Oxford 2](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) [Carnegie Mellon University 3](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) [University of Cambridge 2](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) [Microsoft 4](https://md.research.elamur.ai/free/en/companies/microsoft/) [Johns Hopkins University 2](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) [New York University 1](https://md.research.elamur.ai/free/en/universities/new-york-university/) [University of Amsterdam 1](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) ## Parent and units **Units** Duke Kunshan University Duke-NUS Medical School RTI International Renaissance Computing Institute Triangle Universities Nuclear Laboratory **Related** Center for Statistics and Applications in Forensic Evidence Duke University Health System Duke University Hospital Durham VA Medical Center From the Research Organization Registry (ROR); those with a page here are linked. Works and people from the bylines of the papers (OpenAlex): a person listed here worked or studied at Duke University; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.