---
title: "Yangjun Ruan — author profile and papers — Elamur Research"
description: "Yangjun Ruan: 2 papers on Elamur Research (2023–2024), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yangjun-ruan/"
---
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# Yangjun Ruan

Yangjun Ruan 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chris J. Maddison](https://md.research.elamur.ai/free/en/authors/chris-j-maddison/), [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/), [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5074108427) · [ORCID](https://orcid.org/0000-0002-0816-219X) · [**h-index 6**](https://openalex.org/authors/A5074108427) · [20 works](https://openalex.org/works?filter=author.id:A5074108427) · [628 citations](https://openalex.org/works?filter=author.id:A5074108427&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/#papers) · [🔗 Cited 127 times in our library](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/cited-by/) · [⭐ Paper Stars ranking: #7331](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7331)

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=Yangjun+Ruan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yangjun+Ruan) · [dblp](https://dblp.org/search?q=Yangjun+Ruan) · [ACL Anthology](https://aclanthology.org/search/?q=Yangjun+Ruan)

## Affiliations

[🎓**University of Toronto** Toronto · Canada 2021–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🔬**Vector Institute** Toronto · Canada 2022–2025 · 6 papers](https://md.research.elamur.ai/free/en/labs/vector-institute/) · [🎓**Zhejiang University** Hangzhou · China 2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-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).[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/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Identifying the Risks of LM Agents with an LM-Emulated Sandbox](https://md.research.elamur.ai/free/en/papers/ruan-2023-identifying-risks-lm-agents-lm/)** *(2023 · 96 citations)* LM agents that call external tools, such as banking APIs, terminals or smart-home devices, can cause serious harm when they misread a request.
2. **[Observational Scaling Laws and the Predictability of Language Model Performance](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/)** *(2024 · 40 citations)* Classical scaling laws relate the training compute budget to the quality of a language model. Building them requires training a series of models of different sizes oneself, which few can afford. The authors propose an "observational" approach: instead of training, they take about a hundred open models and their…

## Co-authors here

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

- [Chris J. Maddison](https://md.research.elamur.ai/free/en/authors/chris-j-maddison/) ×2
- [Tatsunori Hashimoto](https://md.research.elamur.ai/free/en/authors/tatsunori-hashimoto/) ×2
- [Andrew Wang](https://md.research.elamur.ai/free/en/authors/andrew-wang/)
- [Honghua Dong](https://md.research.elamur.ai/free/en/authors/honghua-dong/)
- [Jimmy Lei Ba](https://md.research.elamur.ai/free/en/authors/jimmy-lei-ba/)
- [Silviu Pitis](https://md.research.elamur.ai/free/en/authors/silviu-pitis/)
- [Yann Dubois](https://md.research.elamur.ai/free/en/authors/yann-dubois/)
- [Yongchao Zhou](https://md.research.elamur.ai/free/en/authors/yongchao-zhou/)

## Cited by

Papers of our library cite their works 127 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yangjun-ruan/cited-by/).

Updated 2 November 2026
