--- title: "Suhong Moon — author profile and papers — Elamur Research" description: "Suhong Moon, University of California, Berkeley: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/suhong-moon/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/suhong-moon/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Suhong Moon # Suhong Moon Suhong Moon has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Joseph Suh](https://md.research.elamur.ai/free/en/authors/joseph-suh/), [Serina Y. Chang](https://md.research.elamur.ai/free/en/authors/serina-y-chang/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101277234) · [**h-index 3**](https://openalex.org/authors/A5101277234) · [12 works](https://openalex.org/works?filter=author.id:A5101277234) · [34 citations](https://openalex.org/works?filter=author.id:A5101277234&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/suhong-moon/#papers) · [🔗 Cited 18 times in our library](https://md.research.elamur.ai/free/en/authors/suhong-moon/cited-by/) · [⭐ Paper Stars ranking: #9797](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9797) 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=Suhong+Moon) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Suhong+Moon) · [dblp](https://dblp.org/search?q=Suhong+Moon) · [ACL Anthology](https://aclanthology.org/search/?q=Suhong+Moon) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 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 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/suhong-moon/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/suhong-moon/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. **[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. ## 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 - [Serina Y. Chang](https://md.research.elamur.ai/free/en/authors/serina-y-chang/) ×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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 18 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/suhong-moon/cited-by/). Updated 1 November 2026