🧑‍🔬 Meredith Ringel Morris

🏛️ Affiliations

🎓Carnegie Mellon UniversityPittsburgh · United States2026 · 1 papercurrent🏢MicrosoftRedmond · United States2007–2022 · 167 papers🎓Stanford UniversityStanford · United States2001–2022 · 24 papersEducation 2001–2006 · Ph.D., Computer Science🏢GoogleMountain View · United States2021–2025 · 18 papersEmployment 2021–2023🏢Google DeepMindLondon · United Kingdom2023–2025 · 7 papers🎓University of WashingtonSeattle · United States2007–2023 · 3 papersEmployment since 2007 · Affiliate Professor, Computer Science and Engineering🎓Brown UniversityProvidence · United States1997–2001 · 2 papersEducation 1997–2001 · Sc.B., Computer Science

🏛️Google DeepMindSeattle · United States2023Employment since 2023

🏛️Microsoft ResearchRedmond · United States2006–2021Employment 2006–2021 · Principal Researcher and Research Manager

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Social Simulacra: Creating Populated Prototypes for Social Computing Systems (2022 · 310 citations)
   People who design online communities usually test their ideas with a small group of recruited users. Many problems, such as trolling, unclear norms or off-topic content, appear only once a space has many members. The authors propose social simulacra, a prototyping approach that uses GPT-3 to fill a planned community…
2. LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals (2024 · 119 citations)
   Machine-learning models that predict human behavior usually need large amounts of structured data for each specific outcome, so they are hard to reuse for new questions.

All works

7 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. Generative Agents: Interactive Simulacra of Human Behavior ↗arXiv:2304.03442 · no summary yetJoon Sung Park et al.2023 · 2,866 citations
2. Social Simulacra: Creating Populated Prototypes for Social Computing SystemsarXiv:2208.04024Joon Sung Park, Lindsay Popowski, Carrie J. Cai, et al.2022 · 310 citations
3. LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of IndividualsarXiv:2411.10109Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst, et al.2024 · 119 citations
4. Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetElisa Kreiss et al.2022 · 32 citations
5. Position: Towards Bidirectional Human-AI Alignment ↗neural information processing systems · no summary yetHua Shen et al.2025 · 31 citations
6. Simulating Human Behavior Based on Personal Interviews to Power Generative Agent-Based Models ↗no summary yetJoon-Sung Park et al.2024
7. Characterizing Image Accessibility on Wikipedia across Languages ↗arXiv (Cornell University) · no summary yetElisa Kreiss et al.2023

🤝 Co-authors here

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

• Carrie Cai ×2
• Joon Sung Park ×2
• Michael S. Bernstein ×2
• Percy Liang ×2

Venues

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

• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 1,691 times (of the 149,439 papers whose bibliographies we read); 464 citing papers with a page here →.

Updated 2 November 2026

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