---
title: "Siyuan Guo · Beihang University — author profile and papers"
description: "Siyuan Guo, Beihang University: 2 papers on Elamur Research (2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/siyuan-guo/"
---
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# Siyuan Guo

Siyuan Guo has 2 papers in our library, in 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 [Aniket Didolkar](https://md.research.elamur.ai/free/en/authors/aniket-didolkar/), [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/), [Cheng Deng](https://md.research.elamur.ai/free/en/authors/cheng-deng/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5009885970) · [ORCID](https://orcid.org/0000-0003-3815-4470) · [**h-index 4**](https://openalex.org/authors/A5009885970) · [10 works](https://openalex.org/works?filter=author.id:A5009885970) · [53 citations](https://openalex.org/works?filter=author.id:A5009885970&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/siyuan-guo/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/siyuan-guo/cited-by/) · [⭐ Paper Stars ranking: #8532](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8532)

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

## Affiliations

[🎓**Beihang University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🏛️**Ministry of Industry and Information Technology** Beijing · China 2022–2024 · 3 papers](https://ror.org/0385nmy68) · [🎓**University of Cambridge** Cambridge · United Kingdom 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](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** 2 papers](https://md.research.elamur.ai/free/en/authors/siyuan-guo/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning](https://md.research.elamur.ai/free/en/papers/guo-2024-ds-agent-automated-data-science/)** *(2024 · 50 citations)* Agents built on large language models often fail at automated machine learning because they propose poorly grounded experiment plans and hallucinate, even with GPT-4.
2. **[Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/didolkar-2024-metacognitive-capabilities-llms-exploration-mathematical/)** *(2024 · 45 citations)* The authors ask whether large language models have something like metacognitive knowledge, meaning an awareness of which skills a task calls for, and whether that awareness can be used to improve their performance.

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Aniket Didolkar](https://md.research.elamur.ai/free/en/authors/aniket-didolkar/)
- [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/)
- [Cheng Deng](https://md.research.elamur.ai/free/en/authors/cheng-deng/)
- [Danilo Jimenez Rezende](https://md.research.elamur.ai/free/en/authors/danilo-jimenez-rezende/)
- [Jun Wang](https://md.research.elamur.ai/free/en/authors/jun-wang/)
- [Michael C. Mozer](https://md.research.elamur.ai/free/en/authors/michael-c-mozer/)
- [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/)
- [Nan Rosemary Ke](https://md.research.elamur.ai/free/en/authors/nan-rosemary-ke/)
- [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/)
- [Timothy Lillicrap](https://md.research.elamur.ai/free/en/authors/timothy-lillicrap/)
- [Yi Chang](https://md.research.elamur.ai/free/en/authors/yi-chang/)
- [Ying Wen](https://md.research.elamur.ai/free/en/authors/ying-wen/)

## Cited by

Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/siyuan-guo/cited-by/).

Updated 3 November 2026
