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Libby Hemphill

Libby Hemphill has 2 papers in our library, in 2019–2023; often with David Jurgens, Kai Mei, Lingyao Li.

2 papers in our library · 2019–2023

OpenAlex · ORCID · Wikidata · h-index 23 · 201 works · 2,118 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 110 times in our library · ⭐ Paper Stars ranking: #6257

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of MichiganAnn Arbor · United States1970–2026 · 100 papersEducationEmployment since 2017current🎓University of ArizonaTucson · United States2026 · 1 papercurrent🎓Illinois Institute of TechnologyChicago · United States2010–2017 · 24 papersEmployment 2010–2017🔬Inter-university Consortium for Political and Social ResearchAnn Arbor · United States2018–2025 · 12 papers🔬Institute for Social ResearchAnn Arbor · United States1970–2022 · 3 papers🎓University of South FloridaTampa · United States2024 · 2 papers🎓University of ChicagoChicago · United StatesEducation

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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksSocial Sciences · 2 worksArtificial Intelligence · 2 worksSafety Research · 1 workSociology and Political Science · 1 workPolitical Science and International Relations · 1 work

 Works by year

2020s

20231 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Just and Comprehensive Strategy for Using NLP to Address Online Abuse (2019 · 189 citations)
    This ACL 2019 position paper argues that NLP work on online abuse has focused on a thin slice of the problem, mainly overt hate speech and abusive language.
  2. War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars (2023 · 54 citations)
    The authors ask whether large language models can help study how international conflicts arise and whether historical wars could have been avoided.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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