---
title: "Serina Y. Chang — author profile and papers in our library"
description: "Serina Y. Chang, University of California, San Francisco: 3 papers on Elamur Research (2025–2026), h-index 10 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/serina-y-chang/"
---
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# Serina Y. Chang

Serina Y. Chang has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Joseph Suh](https://md.research.elamur.ai/free/en/authors/joseph-suh/), [Suhong Moon](https://md.research.elamur.ai/free/en/authors/suhong-moon/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5046445911) · [ORCID](https://orcid.org/0000-0002-4253-1016) · [Wikidata](https://www.wikidata.org/wiki/Q101559939) · [**h-index 10**](https://openalex.org/authors/A5046445911) · [29 works](https://openalex.org/works?filter=author.id:A5046445911) · [1,974 citations](https://openalex.org/works?filter=author.id:A5046445911&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/serina-y-chang/#papers) · [🔗 Cited 76 times in our library](https://md.research.elamur.ai/free/en/authors/serina-y-chang/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8198](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8198)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Serina+Y.+Chang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Serina+Y.+Chang) · [dblp](https://dblp.org/search?q=Serina+Y.+Chang) · [ACL Anthology](https://aclanthology.org/search/?q=Serina+Y.+Chang)

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2025–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**University of California, San Francisco** San Francisco · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-san-francisco/) · [🏢**Microsoft Research New York City** New York 2025–2026 · 2 papers*current*](https://ror.org/056zprp28) · [🎓**Stanford University** Stanford · United States 2019–2025 · 15 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🏢**Microsoft** Redmond · United States 2025–2026 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Columbia University** New York · United States 2017–2019 · 4 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/serina-y-chang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/serina-y-chang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions](https://md.research.elamur.ai/free/en/papers/suh-2025-language-model-fine-tuning-scaled/)** *(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](https://md.research.elamur.ai/free/en/papers/chang-2025-chatbench-static-benchmarks-human-ai/)** *(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](https://md.research.elamur.ai/free/en/papers/suh-2026-graph-based-alternatives-llms-human/)** *(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 ↗](https://doi.org/10.1038/s41586-020-2923-3) Nature · no summary yet**Serina 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 ↗](https://doi.org/10.1073/pnas.2120510119) Proceedings of the National Academy of Sciences · no summary yet**Dallas Card et al.*2022 · 124 citations*
3. **[Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling ↗](https://doi.org/10.1145/3447548.3467182) no summary yet**Serina Y. Chang et al.*2021 · 36 citations*
4. **[Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions](https://md.research.elamur.ai/free/en/papers/suh-2025-language-model-fine-tuning-scaled/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.*2025 · 28 citations*
5. **[LLMs Generate Structurally Realistic Social Networks but Overestimate Political Homophily ↗](https://doi.org/10.1609/icwsm.v19i1.35820) Proceedings of the International AAAI Conference on Web and Social Media · no summary yet**Serina Y. Chang et al.*2025 · 26 citations*
6. **[Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks ↗](https://doi.org/10.1609/aaai.v37i12.26657) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Serina Y. Chang et al.*2023 · 14 citations*
7. **[Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites ↗](https://doi.org/10.1609/aaai.v36i11.21529) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Zakaria Mehrab et al.*2022 · 10 citations*
8. **[ChatBench: From Static Benchmarks to Human-AI Evaluation](https://md.research.elamur.ai/free/en/papers/chang-2025-chatbench-static-benchmarks-human-ai/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Serina Chang, Ashton Anderson, Jake M. Hofman*2025 · 9 citations*
9. **[Learning Production Functions for Supply Chains with Graph Neural Networks ↗](https://doi.org/10.1609/aaai.v39i27.35004) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Serina Y. Chang et al.*2025 · 4 citations*
10. **[Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting ↗](https://arxiv.org/abs/2402.18697) arXiv (Cornell University) · no summary yet**Serina Y. Chang et al.*2024 · 2 citations*
11. **[Graph-Based Alternatives to LLMs for Human Simulation](https://md.research.elamur.ai/free/en/papers/suh-2026-graph-based-alternatives-llms-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joseph Suh, Suhong Moon, Serina Chang*2026*

## Co-authors here

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

- [Joseph Suh](https://md.research.elamur.ai/free/en/authors/joseph-suh/) ×2
- [Suhong Moon](https://md.research.elamur.ai/free/en/authors/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)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/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 →](https://md.research.elamur.ai/free/en/authors/serina-y-chang/cited-by/).

Updated 1 November 2026
