🧑‍🔬 Serina Y. Chang

🏛️ Affiliations

🎓University of California, BerkeleyBerkeley · United States2025–2026 · 20 paperscurrent🎓University of California, San FranciscoSan Francisco · United States2025–2026 · 3 paperscurrent🏢Microsoft Research New York CityNew York2025–2026 · 2 paperscurrent🎓Stanford UniversityStanford · United States2019–2025 · 15 papers🏢MicrosoftRedmond · United States2025–2026 · 4 papers🎓Columbia UniversityNew York · United States2017–2019 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 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. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions (2025 · 28 citations)
   Survey designers could benefit from early estimates of how different demographic groups will answer a question.
2. ChatBench: From Static Benchmarks to Human-AI Evaluation (2025 · 9 citations)
   Benchmarks such as MMLU test LLMs in isolation, but people use chatbots through open-ended dialogue. This paper asks whether "AI-alone" scores reflect how well a person does when working with a model. The authors turned MMLU questions into conversations. Prolific workers received a question, answered it on their own…
3. Graph-Based Alternatives to LLMs for Human Simulation (2026)
   Most work on simulating human behaviour relies on large language models, even when a person only picks one answer from a fixed list, as with a poll item or a test question.

All works

11 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Mobility network models of COVID-19 explain inequities and inform reopening ↗Nature · no summary yetSerina Y. Chang et al.2020 · 1,532 citations
2. Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration ↗Proceedings of the National Academy of Sciences · no summary yetDallas Card et al.2022 · 124 citations
3. Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling ↗no summary yetSerina Y. Chang et al.2021 · 36 citations
4. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.2025 · 28 citations
5. LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily ↗Proceedings of the International AAAI Conference on Web and Social Media · no summary yetSerina Y. Chang et al.2025 · 26 citations
6. Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSerina Y. Chang et al.2023 · 14 citations
7. Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZakaria Mehrab et al.2022 · 10 citations
8. ChatBench: From Static Benchmarks to Human-AI EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Serina Chang, Ashton Anderson, Jake M. Hofman2025 · 9 citations
9. Learning Production Functions for Supply Chains with Graph Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSerina Y. Chang et al.2025 · 4 citations
10. Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ↗arXiv (Cornell University) · no summary yetSerina Y. Chang et al.2024 · 2 citations
11. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026

🤝 Co-authors here

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

• Joseph Suh ×2
• Suhong Moon ×2

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) ×3: ACL 2026, ACL 2025 ×2
• Proceedings of the AAAI Conference on Artificial Intelligence ×3
• Nature
• Proceedings of the International AAAI Conference on Web and Social Media
• Proceedings of the National Academy of Sciences

🔗 Cited by

Papers of our library cite their works 76 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated 1 November 2026

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