--- title: "Joy He-Yueya — author profile and papers — Elamur Research" description: "Joy He-Yueya: 2 papers on Elamur Research (2023–2024) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/joy-he-yueya/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/joy-he-yueya/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Joy He-Yueya # Joy He-Yueya Joy He-Yueya has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/), [Emma Brunskill](https://md.research.elamur.ai/free/en/authors/emma-brunskill/), [Gabriel Poesia](https://md.research.elamur.ai/free/en/authors/gabriel-poesia/). 2 papers in our library · 2023–2024 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/joy-he-yueya/#papers) · [🔗 Cited 74 times in our library](https://md.research.elamur.ai/free/en/authors/joy-he-yueya/cited-by/) · [⭐ Paper Stars ranking: #8150](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8150) 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=Joy+He-Yueya) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Joy+He-Yueya) · [dblp](https://dblp.org/search?q=Joy+He-Yueya) · [ACL Anthology](https://aclanthology.org/search/?q=Joy+He-Yueya) ## 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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/joy-he-yueya/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/joy-he-yueya/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Solving Math Word Problems by Combining Language Models With Symbolic Solvers](https://md.research.elamur.ai/free/en/papers/yueya-2023-solving-math-word-problems-combining/)** *(2023 · 77 citations)* The paper addresses a weakness in tool-augmented LLM approaches to math word problems. Methods like PAL turn a problem into a Python program, which works well for step-by-step procedures. It is awkward, however, when a solution is better stated as relations among unknown quantities. The authors instead have an LLM… 2. **[Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models](https://md.research.elamur.ai/free/en/papers/he-yueya-2024-psychometric-alignment-capturing-human-knowledge/)** *(2024 · 12 citations)* Language models are increasingly used to stand in for human populations, for example when designing educational materials. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) ×2 - [Emma Brunskill](https://md.research.elamur.ai/free/en/authors/emma-brunskill/) - [Gabriel Poesia](https://md.research.elamur.ai/free/en/authors/gabriel-poesia/) - [Kanishk Gandhi](https://md.research.elamur.ai/free/en/authors/kanishk-gandhi/) - [Rose Wang](https://md.research.elamur.ai/free/en/authors/rose-wang/) - [Wanjing Anya Ma](https://md.research.elamur.ai/free/en/authors/wanjing-anya-ma/) ## Cited by Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/joy-he-yueya/cited-by/). Updated 2 November 2026