---
title: "Ziming Miao — author profile and papers — Elamur Research"
description: "Ziming Miao, Microsoft: 2 papers on Elamur Research (2025), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ziming-miao/"
---
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# Ziming Miao

Ziming Miao has 2 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bingcheng Dong](https://md.research.elamur.ai/free/en/authors/bingcheng-dong/), [Bowen Zhang](https://md.research.elamur.ai/free/en/authors/bowen-zhang/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5090438796) · [ORCID](https://orcid.org/0000-0001-7466-2128) · [**h-index 3**](https://openalex.org/authors/A5090438796) · [15 works](https://openalex.org/works?filter=author.id:A5090438796) · [220 citations](https://openalex.org/works?filter=author.id:A5090438796&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ziming-miao/#papers) · [🔗 Cited 68 times in our library](https://md.research.elamur.ai/free/en/authors/ziming-miao/cited-by/) · [⭐ Paper Stars ranking: #9198](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9198)

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

## Affiliations

[🏢**Microsoft Research Asia** Beijing · China 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🏢**Microsoft** Redmond · United States 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**South China Normal University** Guangzhou · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/south-china-normal-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

## 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](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/ziming-miao/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs](https://md.research.elamur.ai/free/en/papers/wen-2025-reinforcement-learning-verifiable-rewards-implicitly/)** *(2025 · 62 citations)* The paper addresses a disputed question: does reinforcement learning with verifiable rewards (RLVR) make LLMs reason better, or does it only make already-known solutions easier to sample? Earlier work saw base models catch up with RLVR-tuned models on Pass@K at large K.
2. **[rStar2-Agent: Agentic Reasoning Technical Report](https://md.research.elamur.ai/free/en/papers/shang-2025-rstar2-agent-agentic-reasoning/)** *(2025 · 6 citations)* Long chain-of-thought reasoning helps LLMs on hard math, but models that rely only on internal self-checking often miss subtle mistakes.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Bingcheng Dong](https://md.research.elamur.ai/free/en/authors/bingcheng-dong/)
- [Bowen Zhang](https://md.research.elamur.ai/free/en/authors/bowen-zhang/)
- [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/)
- [Junjie Li](https://md.research.elamur.ai/free/en/authors/junjie-li/)
- [Li Lyna Zhang](https://md.research.elamur.ai/free/en/authors/li-lyna-zhang/)
- [Mao Yang](https://md.research.elamur.ai/free/en/authors/mao-yang/)
- [Ning Shang](https://md.research.elamur.ai/free/en/authors/ning-shang/)
- [Shun Zheng](https://md.research.elamur.ai/free/en/authors/shun-zheng/)
- [Xiao Liang](https://md.research.elamur.ai/free/en/authors/xiao-liang/)
- [Xinyu Guan](https://md.research.elamur.ai/free/en/authors/xinyu-guan/)
- [Xudong Zhou](https://md.research.elamur.ai/free/en/authors/xudong-zhou/)
- [Yang Wang](https://md.research.elamur.ai/free/en/authors/yang-wang/)

## Cited by

Papers of our library cite their works 68 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ziming-miao/cited-by/).

Updated 3 November 2026
