--- title: "University of Virginia — research, people and papers" description: "University of Virginia (Charlottesville, United States): 13 works on the Elamur Research site, 6 people with a page, 8,218 citations; its topics, units…" canonical: "https://research.elamur.ai/free/en/universities/university-of-virginia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/university-of-virginia/) [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/) / University of Virginia # University of Virginia University · UVA Charlottesville, [United States](https://md.research.elamur.ai/free/en/countries/united-states/) - [Website](https://virginia.edu) - [ROR](https://ror.org/0153tk833) - [OpenAlex](https://openalex.org/I51556381) [**13** works in our library](https://md.research.elamur.ai/free/en/universities/university-of-virginia/#works) · [**22** people with a page](https://md.research.elamur.ai/free/en/universities/university-of-virginia/#authors) · [**8,218** citations of these works](https://md.research.elamur.ai/free/en/universities/university-of-virginia/#works) · [**3,585** citations in our library](https://md.research.elamur.ai/free/en/universities/university-of-virginia/#works) ## People (22) Authors with a page here who worked or studied at University of Virginia: first those whose cited work was done most here; beside each, their citations. ### Core (6) Confirmed by their records, or by their bylines here with a fair part of their work. - [Vicente Ordonez](https://md.research.elamur.ai/free/en/authors/vicente-ordonez/) — 2016–2022 on 32 papers · 4 papers here · 8,650 citations - [Tianlu Wang](https://md.research.elamur.ai/free/en/authors/tianlu-wang/) — 2017–2022 on 12 papers · 5 papers here · 3,596 citations - [Yanjun Qi](https://md.research.elamur.ai/free/en/authors/yanjun-qi/) — 2014–2025 on 76 papers · 2 papers here · 1,844 citations - [Yuan Tian](https://md.research.elamur.ai/free/en/authors/yuan-tian/) — 2020–2021 on 3 papers · 2 papers here · 3,899 citations - [Yangfeng Ji](https://md.research.elamur.ai/free/en/authors/yangfeng-ji/) — current · 2019–2026 on 54 papers · 7 papers here · 2,557 citations - [John X. Morris](https://md.research.elamur.ai/free/en/authors/john-x-morris/) — 2020 on 5 papers · 2 papers here · 1,307 citations **Also published with this affiliation (16)** Matched by the bylines of their papers, not confirmed: few papers there, or a small part of their work. - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) — 2014–2020 on 9 papers · 28 papers here · 14,938 citations - [Sheng Li](https://md.research.elamur.ai/free/en/authors/sheng-li/) — 2023–2024 on 6 papers · 2 papers here · 1,756 citations - [Wasi Uddin Ahmad](https://md.research.elamur.ai/free/en/authors/wasi-uddin-ahmad/) — 2016–2020 on 2 papers · education (ORCID) · 3 papers here · 2,274 citations - [Wenlin Yao](https://md.research.elamur.ai/free/en/authors/wenlin-yao/) — 2025 on 2 papers · 2 papers here · 509 citations - [Brian Ichter](https://md.research.elamur.ai/free/en/authors/brian-ichter/) — 2012–2015 on 3 papers · 3 papers here · 12,519 citations - [Leo Anthony Celi](https://md.research.elamur.ai/free/en/authors/leo-anthony-celi/) — 2014–2019 on 4 papers · 2 papers here · 11,915 citations - [Yizhe Zhang](https://md.research.elamur.ai/free/en/authors/yizhe-zhang/) — 2018–2019 on 4 papers · 6 papers here · 4,065 citations - [Ji Ma](https://md.research.elamur.ai/free/en/authors/ji-ma/) — current · 2023–2026 on 5 papers · 4 papers here · 1,879 citations - [David Newman](https://md.research.elamur.ai/free/en/authors/david-newman/) — 2000–2005 on 3 papers · 3 papers here · 1,709 citations - [Jing Ma](https://md.research.elamur.ai/free/en/authors/jing-ma/) — 2020–2021 on 2 papers · 3 papers here · 1,539 citations - [Hanjie Chen](https://md.research.elamur.ai/free/en/authors/hanjie-chen/) — 2019–2023 on 16 papers · 2 papers here · 1,014 citations - [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) — 1997–2002 on 5 papers · 2 papers here · 1,006 citations - [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/) — 2026 on 3 papers · 2 papers here · 972 citations - [Xuwang Yin](https://md.research.elamur.ai/free/en/authors/xuwang-yin/) — current · 2022–2025 on 3 papers · 2 papers here · 698 citations - [Karthik Sankaranarayanan](https://md.research.elamur.ai/free/en/authors/karthik-sankaranarayanan/) — 2001–2011 on 12 papers · 2 papers here · 362 citations - [Xiao Zhang](https://md.research.elamur.ai/free/en/authors/xiao-zhang/) — 2018–2019 on 2 papers · 2 papers here · 208 citations ## Works in our library (13) The most cited first (OpenAlex citations plus our library's). - [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/) — Victor Sanh, Albert Webson, Colin Raffel, et al. · 2021 · 1,577 citations - [Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2018 · 1,186 citations - [Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2017 · 1,030 citations - [TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP](https://md.research.elamur.ai/free/en/papers/morris-2020-textattack-framework-adversarial-attacks-data/) — John X. Morris, Eli Lifland, Jin Yong Yoo, et al. · 2020 · 857 citations - [Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers](https://md.research.elamur.ai/free/en/papers/gao-2018-black-box-generation-adversarial-text/) — Ji Gao, Jack Lanchantin, Mary Lou Soffa, et al. · 2018 · 836 citations - [Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) — Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al. · 2019 · 503 citations - [Evaluating Large Language Models in Theory of Mind Tasks](https://md.research.elamur.ai/free/en/papers/kosinski-2023-evaluating-large-language-models-theory/) — Michal Kosinski · 2023 · 465 citations - [Benchmarking Retrieval-Augmented Generation for Medicine](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/) — Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al. · 2024 · 426 citations - [LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/) — Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li · 2023 · 379 citations - [AugGPT: Leveraging ChatGPT for Text Data Augmentation](https://md.research.elamur.ai/free/en/papers/dai-2023-auggpt-leveraging-chatgpt-text-data/) — Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li · 2023 · 302 citations - [Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/) — Zhen Tan, Dawei Li, Song Wang, et al. · 2024 · 259 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 - [BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions](https://md.research.elamur.ai/free/en/papers/zhuo-2024-bigcodebench-benchmarking-code-generation-diverse/) — Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al. · 2024 · 163 citations ## Topics Topics of its works in our library, with the number of works on each. [Bias, fairness & safety (3)](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks (2)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Coreference resolution (1)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Legal AI (1)](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Fields [Natural language processing (6)](https://md.research.elamur.ai/free/en/shelves/nlp/) · [AI & machine learning (2)](https://md.research.elamur.ai/free/en/shelves/ai/) · [Linguistics & languages (1)](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [Mathematics & statistics (1)](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Law (1)](https://md.research.elamur.ai/free/en/shelves/law/) ## Collaborates with Institutions on the bylines of the same works here; the number is the works they share. [Stanford University 4](https://md.research.elamur.ai/free/en/universities/stanford-university/) [University of California, Berkeley 3](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) [Massachusetts Institute of Technology 3](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) [University of California, Los Angeles 3](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) [Harvard University 3](https://md.research.elamur.ai/free/en/universities/harvard-university/) [University of Washington 2](https://md.research.elamur.ai/free/en/universities/university-of-washington/) [Carnegie Mellon University 2](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/) [New York University 2](https://md.research.elamur.ai/free/en/universities/new-york-university/) [Allen Institute for Artificial Intelligence 2](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) [University of Illinois Urbana-Champaign 2](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) [Monash University 2](https://md.research.elamur.ai/free/en/universities/monash-university/) ## Parent and units **Related** Center for Statistics and Applications in Forensic Evidence Inova Fairfax Hospital University of Virginia Children's Hospital University of Virginia Health System University of Virginia Hospital University of Virginia 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 University of Virginia; employment or education is named only where the person's ORCID record or Wikidata says so. Institution data from ROR and OpenAlex.