---
title: "Yiping Wang — author profile and papers — Elamur Research"
description: "Yiping Wang, Nanjing Normal University: 2 papers on Elamur Research (2025), h-index 5 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yiping-wang/"
---
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# Yiping Wang

Yiping Wang has 2 papers in our library, in 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 [Baolin Peng](https://md.research.elamur.ai/free/en/authors/baolin-peng/), [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/), [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5113844261) · [ORCID](https://orcid.org/0000-0002-7540-6449) · [**h-index 5**](https://openalex.org/authors/A5113844261) · [45 works](https://openalex.org/works?filter=author.id:A5113844261) · [242 citations](https://openalex.org/works?filter=author.id:A5113844261&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yiping-wang/#papers) · [🔗 Cited 135 times in our library](https://md.research.elamur.ai/free/en/authors/yiping-wang/cited-by/) · [⭐ Paper Stars ranking: #7262](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7262)

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

## Affiliations

[🎓**Wuhan University of Technology** Wuhan · China 2021–2025 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/wuhan-university-of-technology/) · [🎓**Nanjing Normal University** Nanjing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-normal-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 4 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/)

🧭 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** 2 papers](https://md.research.elamur.ai/free/en/authors/yiping-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Reinforcement Learning for Reasoning in Large Language Models with One Training Example](https://md.research.elamur.ai/free/en/papers/wang-2025-reinforcement-learning-reasoning-large-language/)** *(2025 · 87 citations)* The paper asks how small a training set can be for reinforcement learning with verifiable reward (RLVR). RLVR is the outcome-rewarded RL now used to strengthen math reasoning in LLMs. The authors draw a random sample of 1,209 problems from the DeepScaleR dataset (DSR-sub). They rank each problem by how much its…
2. **[Spurious Rewards: Rethinking Training Signals in RLVR](https://md.research.elamur.ai/free/en/papers/shao-2025-spurious-rewards-rethinking-training-signals/)** *(2025 · 53 citations)* Reinforcement learning with verifiable rewards (RLVR) is credited with improving math reasoning in language models, but it is unclear what in the training signal actually causes the gains.

## Co-authors here

12 of 19 co-authors with a page, the most papers together first.

- [Baolin Peng](https://md.research.elamur.ai/free/en/authors/baolin-peng/)
- [Hannaneh Hajishirzi](https://md.research.elamur.ai/free/en/authors/hannaneh-hajishirzi/)
- [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/)
- [Jianfeng Gao](https://md.research.elamur.ai/free/en/authors/jianfeng-gao/)
- [Kuan Wang](https://md.research.elamur.ai/free/en/authors/kuan-wang/)
- [Liliang Ren](https://md.research.elamur.ai/free/en/authors/liliang-ren/)
- [Liyuan Liu](https://md.research.elamur.ai/free/en/authors/liyuan-liu/)
- [Nathan Lambert](https://md.research.elamur.ai/free/en/authors/nathan-lambert/)
- [Qing Yang](https://md.research.elamur.ai/free/en/authors/qing-yang/)
- [Ranjay Krishna](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/)
- [Rui Xin](https://md.research.elamur.ai/free/en/authors/rui-xin/)
- [Rulin Shao](https://md.research.elamur.ai/free/en/authors/rulin-shao/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 135 times (of the 149,439 papers whose bibliographies we read); [41 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yiping-wang/cited-by/).

Updated 2 November 2026
