---
title: "Yizhen Jia — author profile and papers — Elamur Research"
description: "Yizhen Jia, Nanyang Normal University: 2 papers on Elamur Research (2024–2025), h-index 10 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/yizhen-jia/"
---
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# Yizhen Jia

Yizhen Jia has 2 papers in our library, in 2024–2025, 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 [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/), [Renjie Pi](https://md.research.elamur.ai/free/en/authors/renjie-pi/), [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5064557682) · [ORCID](https://orcid.org/0000-0003-0789-7052) · [**h-index 10**](https://openalex.org/authors/A5064557682) · [21 works](https://openalex.org/works?filter=author.id:A5064557682) · [239 citations](https://openalex.org/works?filter=author.id:A5064557682&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yizhen-jia/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/yizhen-jia/cited-by/) · [⭐ Paper Stars ranking: #9171](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9171)

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

## Affiliations

[🎓**Nanyang Normal University** Nanyang · China 2025 · 2 papers*current*](https://ror.org/01f7yer47) · [🎓**Beihang University** Beijing · China 2019–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/beihang-university/) · [🎓**University of Jinan** Jinan · China 2016–2018 · 4 papers](https://ror.org/02mjz6f26) · [🎓**Northwestern University** Evanston · United States 2014–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/northwestern-university/)

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 5 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/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-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/)

🧭 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

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yizhen-jia/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yizhen-jia/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts](https://md.research.elamur.ai/free/en/papers/wang-2024-theoremllama-transforming-general-purpose-llms/)** *(2024 · 51 citations)* TheoremLlama tackles a core obstacle in automated formal proving. General-purpose LLMs write poor Lean4 proofs because there is almost no paired natural-language/formal (NL-FL) training data, and their pretraining mixes in outdated Lean3 code.
2. **[MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving](https://md.research.elamur.ai/free/en/papers/wang-2025-ma-lot-model-collaboration-lean/)** *(2025 · 18 citations)* The paper addresses automated theorem proving in Lean4. Current LLM approaches fall into two camps. Step-by-step tree search uses verifier feedback but is costly and lacks high-level planning. Whole-proof generation exploits natural-language reasoning but never sees intermediate verifier signals. MA-LoT bridges these…

## Co-authors here

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

- [Jipeng Zhang](https://md.research.elamur.ai/free/en/authors/jipeng-zhang/) ×2
- [Renjie Pi](https://md.research.elamur.ai/free/en/authors/renjie-pi/) ×2
- [Rui Pan](https://md.research.elamur.ai/free/en/authors/rui-pan/) ×2
- [Ruida Wang](https://md.research.elamur.ai/free/en/authors/ruida-wang/) ×2
- [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) ×2
- [Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/) ×2
- [Junjie Hu](https://md.research.elamur.ai/free/en/authors/junjie-hu/)
- [Yuxin Li](https://md.research.elamur.ai/free/en/authors/yuxin-li/)

## 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 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)

## Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yizhen-jia/cited-by/).

Updated 3 November 2026
