---
title: "Jiexin Wang — author profile and papers — Elamur Research"
description: "Jiexin Wang: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/jiexin-wang/"
---
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# Jiexin Wang

Jiexin Wang has 2 papers in our library, in 2026, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [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 [Mengchen Zhao](https://md.research.elamur.ai/free/en/authors/mengchen-zhao/), [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/), [Bo An](https://md.research.elamur.ai/free/en/authors/bo-an/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139747887) · [**h-index 0**](https://openalex.org/authors/A5139747887) · [2 works](https://openalex.org/works?filter=author.id:A5139747887) · [0 citations](https://openalex.org/works?filter=author.id:A5139747887&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiexin-wang/#papers) · [⭐ Paper Stars ranking: #13659](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13659)

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

## 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).[Artificial Intelligence · 2 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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 Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/)

🧭 Topics 3 Research subjects and languages the work is about.[Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [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

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiexin-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement](https://md.research.elamur.ai/free/en/papers/xu-2026-mavencoder-competitive-code-generation-model/)** *(2026)* The paper addresses competition-level code generation with LLMs. Current multi-agent planning–coding–debugging pipelines have two weaknesses: they use one fixed planning recipe for every task, and they rarely check intermediate reasoning, so early mistakes carry into the code. MavenCoder addresses both with three…
2. **[SeDev: Structured Semantic Exploration for LLM-Driven Code Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sedev-structured-semantic-exploration-llm/)** *(2026)* LLM-based multi-agent systems still struggle to build complete, multi-module software. Feedback-refinement pipelines follow a single trajectory and tend to settle in local optima. MCTS-style search explores more alternatives but becomes very costly. SeDev addresses this by making exploration explicit and cheap.

## Co-authors here

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

- [Mengchen Zhao](https://md.research.elamur.ai/free/en/authors/mengchen-zhao/) ×2
- [Yi Cai](https://md.research.elamur.ai/free/en/authors/yi-cai/) ×2
- [Bo An](https://md.research.elamur.ai/free/en/authors/bo-an/)
- [Jie Liu](https://md.research.elamur.ai/free/en/authors/jie-liu/)
- [li Yuan](https://md.research.elamur.ai/free/en/authors/li-yuan/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

Updated 2 November 2026
