---
title: "Jiayi Geng · Princeton University — author profile and papers"
description: "Jiayi Geng, Princeton University: 3 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jiayi-geng/"
---
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# Jiayi Geng

Jiayi Geng has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Howard Chen](https://md.research.elamur.ai/free/en/authors/howard-chen/), [Akshara Prabhakar](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/), [Alexander Wettig](https://md.research.elamur.ai/free/en/authors/alexander-wettig/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5086841757) · [**h-index 2**](https://openalex.org/authors/A5086841757) · [5 works](https://openalex.org/works?filter=author.id:A5086841757) · [15 citations](https://openalex.org/works?filter=author.id:A5086841757&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiayi-geng/#papers) · [🔗 Cited 70 times in our library](https://md.research.elamur.ai/free/en/authors/jiayi-geng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9119](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9119)

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

## Affiliations

[🎓**Princeton University** Princeton · United States 2024–2025 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/princeton-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 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/jiayi-geng/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiayi-geng/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)** *(2025 · 36 citations)* Today's LLMs are essentially frozen once trained. They cannot update their own parameters or behavior when they meet unfamiliar tasks, shifting knowledge, or changing interaction settings, and this becomes a serious limitation when agents work in open, interactive environments. This survey does not introduce new data…
2. **[Language Models as Science Tutors](https://md.research.elamur.ai/free/en/papers/chevalier-2024-language-models-science-tutors/)** *(2024 · 30 citations)* Most evaluations of scientific language models only check final answers to short problems. That says little about whether a model can help a student working through a long textbook chapter. To measure this, the authors built TutorEval: 834 questions written by 17 STEM researchers with teaching experience, tied to 202…
3. **[Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems](https://md.research.elamur.ai/free/en/papers/geng-2025-large-language-models-reliable/)** *(2025 · 4 citations)* The paper asks whether LLMs can act as dependable "AI scientists" by testing a basic research skill: inferring the hidden mechanism of a black-box system from its input–output behavior.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv:2507.21046**Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)
2. [**Language Models as Science Tutors arXiv:2402.11111**Alexis Chevalier, Jiayi Geng, Alexander Wettig, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-2024-language-models-science-tutors/)
3. **[Continual Memorization of Factoids in Language Models ↗](https://arxiv.org/abs/2411.07175) arXiv (Cornell University) · no summary yet**Howard Chen et al.*2024 · 11 citations*
4. [**Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems arXiv:2505.17968**Jiayi Geng, Howard Chen, Dilip Arumugam, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/geng-2025-large-language-models-reliable/)

## Co-authors here

12 of 16 co-authors with a page, the most papers together first.

- [Howard Chen](https://md.research.elamur.ai/free/en/authors/howard-chen/) ×2
- [Akshara Prabhakar](https://md.research.elamur.ai/free/en/authors/akshara-prabhakar/)
- [Alexander Wettig](https://md.research.elamur.ai/free/en/authors/alexander-wettig/)
- [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/)
- [Han Xiao](https://md.research.elamur.ai/free/en/authors/han-xiao/)
- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/)
- [Hongzhang Liu](https://md.research.elamur.ai/free/en/authors/hongzhang-liu/)
- [Huan-ang Gao](https://md.research.elamur.ai/free/en/authors/huan-ang-gao/)
- [Jiahao Qiu](https://md.research.elamur.ai/free/en/authors/jiahao-qiu/)
- [Mengkang Hu](https://md.research.elamur.ai/free/en/authors/mengkang-hu/)
- [Shilong Liu](https://md.research.elamur.ai/free/en/authors/shilong-liu/)
- [Simon Frieder](https://md.research.elamur.ai/free/en/authors/simon-frieder/)

## Cited by

Papers of our library cite their works 70 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiayi-geng/cited-by/).

Updated 3 November 2026
