---
title: "Yuntao Li — author profile and papers — Elamur Research"
description: "Yuntao Li: 2 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuntao-li/"
---
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# Yuntao Li

Yuntao Li has 2 papers in our library, in 2026; often with [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/), [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/), [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5006702189) · [ORCID](https://orcid.org/0000-0002-8039-3240) · [**h-index 5**](https://openalex.org/authors/A5006702189) · [13 works](https://openalex.org/works?filter=author.id:A5006702189) · [86 citations](https://openalex.org/works?filter=author.id:A5006702189&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yuntao-li/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/yuntao-li/cited-by/) · [⭐ Paper Stars ranking: #10212](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10212)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2017–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🔬**State Key Laboratory of Robotics and Systems** Harbin · China 2017–2025 · 10 papers](https://ror.org/015m77g16)

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 7 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) · [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/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-ce-gppo-coordinating-entropy-gradient/)** *(2026 · 7 citations)* The paper tackles unstable policy entropy when large language models are trained with RL for reasoning. PPO-style methods, including GRPO and DAPO, clip the importance sampling ratio, and this silently drops gradients from low-probability tokens. The authors split tokens by advantage sign and probability. They argue…
2. **[Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/)** *(2026 · 1 citation)* LLM post-training with reinforcement learning is usually off-policy, so updates use samples from older policies.

## Co-authors here

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

- [Guorui Zhou](https://md.research.elamur.ai/free/en/authors/guorui-zhou/) ×2
- [Kun Gai](https://md.research.elamur.ai/free/en/authors/kun-gai/) ×2
- [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/) ×2
- [Minxuan Lv](https://md.research.elamur.ai/free/en/authors/minxuan-lv/) ×2
- [Wenping Hu](https://md.research.elamur.ai/free/en/authors/wenping-hu/) ×2
- [Zhenpeng Su](https://md.research.elamur.ai/free/en/authors/zhenpeng-su/) ×2
- [Fuzheng Zhang](https://md.research.elamur.ai/free/en/authors/fuzheng-zhang/)
- [Ruiming Tang](https://md.research.elamur.ai/free/en/authors/ruiming-tang/)
- [Tiehua Mei](https://md.research.elamur.ai/free/en/authors/tiehua-mei/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuntao-li/cited-by/).

Updated 1 November 2026
