🧑‍🔬 Jenny Liang

🏛️ Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2021–2026 · 14 papersEducation since 2021 · Ph.D. in Software Engineering, Institute for Software Researchcurrent🎓University of WashingtonSeattle · United States2015–2023 · 10 papersEducation 2015–2021 · B.S. in Computer Science, B.S. in Informatics, Paul G. Allen School of Computer Science, Information School

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Can Machines Learn Morality? The Delphi Experiment (2021 · 110 citations)
   AI systems increasingly make choices with ethical consequences, yet large language models trained on web text have no explicit grasp of everyday moral norms.
2. NLPositionality: Characterizing Design Biases of Datasets and Models (2023 · 95 citations)
   NLP datasets and models often work better for some populations than others. These design biases frequently trace back to the positionality of their creators, meaning the identity, background and lived experience that shape their choices. Such choices are rarely documented, and many systems are only reachable through…

All works

4 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. Can Machines Learn Morality? The Delphi ExperimentarXiv:2110.07574Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, et al.2021 · 110 citations
2. NLPositionality: Characterizing Design Biases of Datasets and ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Sebastin Santy, Jenny Liang, Ronan Le Bras, et al.2023 · 95 citations
3. Investigating machine moral judgement through the Delphi experiment ↗Nature Machine Intelligence · no summary yetLiwei Jiang et al.2025 · 44 citations
4. EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits ↗arXiv (Cornell University) · no summary yetWayne Chi et al.2025 · 2 citations

🤝 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

• Ronan Le Bras ×2
• Chandra Bhagavatula
• Jena D. Hwang
• Jesse Dodge
• Jon Borchardt
• Katharina Reinecke
• Keisuke Sakaguchi
• Liwei Jiang
• Maarten Sap
• Maxwell Forbes
• Oren Etzioni
• Saadia Gabriel

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): ACL 2023
• Nature Machine Intelligence

🔗 Cited by

Papers of our library cite their works 183 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

Updated 2 November 2026

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