---
title: "Jiatong Yu · Hebei University — author profile and papers"
description: "Jiatong Yu, Hebei University: 2 papers on Elamur Research (2023–2024), h-index 2 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jiatong-yu/"
---
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# Jiatong Yu

Jiatong Yu 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/); often with [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/), [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/), [Howard Yen](https://md.research.elamur.ai/free/en/authors/howard-yen/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5101383362) · [**h-index 2**](https://openalex.org/authors/A5101383362) · [6 works](https://openalex.org/works?filter=author.id:A5101383362) · [214 citations](https://openalex.org/works?filter=author.id:A5101383362&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiatong-yu/#papers) · [🔗 Cited 456 times in our library](https://md.research.elamur.ai/free/en/authors/jiatong-yu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4336](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4336)

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

## Affiliations

[🎓**China Jiliang University** Hangzhou · China 2024 · 2 papers*current*](https://ror.org/05v1y0t93) · [🎓**Hebei University** Baoding · China 2024 · 1 paper*current*](https://ror.org/01p884a79) · [🎓**Princeton University** Princeton · United States 2023 · 3 papers](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).[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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Enabling Large Language Models to Generate Text with Citations](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)** *(2023 · 485 citations)* Chatbots used for information seeking often hallucinate, and users have no easy way to check what they are told.
2. **[AI-Assisted Generation of Difficult Math Questions](https://md.research.elamur.ai/free/en/papers/shah-2024-ai-assisted-generation-difficult-math/)** *(2024 · 23 citations)* LLM training now treats mathematical reasoning as a core capability, but public sources of hard problems are largely used up.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Enabling Large Language Models to Generate Text with Citations](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 485 citations*
2. **[Evaluating Large Language Models at Evaluating Instruction Following ↗](https://arxiv.org/abs/2310.07641) arXiv:2310.07641 · no summary yet**Zhiyuan Zeng et al.*2023 · 163 citations*
3. [**AI-Assisted Generation of Difficult Math Questions arXiv:2407.21009**Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shah-2024-ai-assisted-generation-difficult-math/)

## Co-authors here

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

- [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/)
- [Danqi Chen](https://md.research.elamur.ai/free/en/authors/danqi-chen/)
- [Howard Yen](https://md.research.elamur.ai/free/en/authors/howard-yen/)
- [Kaifeng Lyu](https://md.research.elamur.ai/free/en/authors/kaifeng-lyu/)
- [Michael C. Mozer](https://md.research.elamur.ai/free/en/authors/michael-c-mozer/)
- [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/)
- [Tianyu Gao](https://md.research.elamur.ai/free/en/authors/tianyu-gao/)
- [Vedant Shah](https://md.research.elamur.ai/free/en/authors/vedant-shah/)
- [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)

## Cited by

Papers of our library cite their works 456 times (of the 149,439 papers whose bibliographies we read); [128 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiatong-yu/cited-by/).

Updated 3 November 2026
