---
title: "Taicheng Guo — author profile and papers — Elamur Research"
description: "Taicheng Guo, University of Notre Dame: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/taicheng-guo/"
---
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# Taicheng Guo

Taicheng 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/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Xiangliang Zhang](https://md.research.elamur.ai/free/en/authors/xiangliang-zhang/), [Xiuying Chen](https://md.research.elamur.ai/free/en/authors/xiuying-chen/), [Haoyang Li](https://md.research.elamur.ai/free/en/authors/haoyang-li/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5091542874) · [ORCID](https://orcid.org/0000-0001-7919-6912) · [**h-index 7**](https://openalex.org/authors/A5091542874) · [27 works](https://openalex.org/works?filter=author.id:A5091542874) · [288 citations](https://openalex.org/works?filter=author.id:A5091542874&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/taicheng-guo/#papers) · [🔗 Cited 292 times in our library](https://md.research.elamur.ai/free/en/authors/taicheng-guo/cited-by/) · [⭐ Paper Stars ranking: #4908](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4908)

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

## Affiliations

[🎓**University of Notre Dame** Notre Dame · United States 2023–2026 · 21 papersEducation since 2023 · PhD StudentEmployment · Phd Student*current*](https://md.research.elamur.ai/free/en/universities/university-of-notre-dame/)

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).[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/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/)

🧭 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/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/taicheng-guo/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Large Language Model based Multi-Agents: A Survey of Progress and Challenges](https://md.research.elamur.ai/free/en/papers/guo-2024-large-language-model-based/)** *(2024 · 288 citations)* This survey organizes the fast-growing but fragmented research on multi-agent systems built from large language models (LLM-MA).
2. **[ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2024-scholarchemqa-unveiling-power-language-models/)** *(2024 · 19 citations)* Chemistry has lacked QA benchmarks built from real research. Existing chemical sets such as KGQA rely on templates over a knowledge graph and mostly test basic concepts. The authors address this gap with ScholarChemQA. They mined chemistry papers whose titles are phrased as questions and treated each abstract as the…

## Co-authors here

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

- [Xiangliang Zhang](https://md.research.elamur.ai/free/en/authors/xiangliang-zhang/) ×2
- [Xiuying Chen](https://md.research.elamur.ai/free/en/authors/xiuying-chen/) ×2
- [Haoyang Li](https://md.research.elamur.ai/free/en/authors/haoyang-li/)
- [Jurgen Schmidhuber](https://md.research.elamur.ai/free/en/authors/jurgen-schmidhuber/)
- [Mingchen Zhuge](https://md.research.elamur.ai/free/en/authors/mingchen-zhuge/)
- [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/)
- [Shichao Pei](https://md.research.elamur.ai/free/en/authors/shichao-pei/)
- [Xin Gao](https://md.research.elamur.ai/free/en/authors/xin-gao/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)

## Cited by

Papers of our library cite their works 292 times (of the 149,439 papers whose bibliographies we read); [58 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/taicheng-guo/cited-by/).

Updated 1 November 2026
