---
title: "Mengshu Sun · Ant Group — author profile and papers"
description: "Mengshu Sun, Ant Group: 2 papers on Elamur Research (2025–2026), h-index 10 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/mengshu-sun/"
---
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# Mengshu Sun

Mengshu Sun has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Bohan Zhang](https://md.research.elamur.ai/free/en/authors/bohan-zhang/), [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/), [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5100880862) · [ORCID](https://orcid.org/0000-0003-2639-9462) · [**h-index 10**](https://openalex.org/authors/A5100880862) · [44 works](https://openalex.org/works?filter=author.id:A5100880862) · [231 citations](https://openalex.org/works?filter=author.id:A5100880862&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mengshu-sun/#papers) · [🔗 Cited 49 times in our library](https://md.research.elamur.ai/free/en/authors/mengshu-sun/cited-by/) · [⭐ Paper Stars ranking: #7710](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7710)

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

## Affiliations

[🏢**Ant Group** Hangzhou · China 2022–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Zhejiang University** Hangzhou · China 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Communication University of China** Beijing · China 2009 · 2 papers](https://ror.org/04facbs33)

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).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/mengshu-sun/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/mengshu-sun/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LightThinker: Thinking Step-by-Step Compression](https://md.research.elamur.ai/free/en/papers/zhang-2025-lightthinker-thinking-step-step-compression/)** *(2025 · 50 citations)* Slow, o1-style reasoning makes LLMs produce very long token sequences. Because attention cost grows quadratically and the KV Cache grows linearly with context, these outputs are expensive in memory and time. LightThinker addresses this by teaching a model to condense each intermediate reasoning step as it goes. After…
2. **[Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts](https://md.research.elamur.ai/free/en/papers/luo-2026-sparse-rl-breaking-memory-wall/)** *(2026 · 4 citations)* Long reasoning rollouts in LLM reinforcement learning store large KV caches. This memory cost limits batch sizes and GPU utilization, especially since rollout generation takes most of the training time. The authors ask whether training-free KV compression, built for inference, can be used during rollouts. They find…

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Bohan Zhang](https://md.research.elamur.ai/free/en/authors/bohan-zhang/)
- [Da Zheng](https://md.research.elamur.ai/free/en/authors/da-zheng/)
- [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/)
- [Jing Zhang](https://md.research.elamur.ai/free/en/authors/jing-zhang/)
- [Jintian Zhang](https://md.research.elamur.ai/free/en/authors/jintian-zhang/)
- [Ke Wang](https://md.research.elamur.ai/free/en/authors/ke-wang/)
- [Lei Liang](https://md.research.elamur.ai/free/en/authors/lei-liang/)
- [Lun Du](https://md.research.elamur.ai/free/en/authors/lun-du/)
- [Ningyu Zhang](https://md.research.elamur.ai/free/en/authors/ningyu-zhang/)
- [Shuofei Qiao](https://md.research.elamur.ai/free/en/authors/shuofei-qiao/)
- [Sijia Luo](https://md.research.elamur.ai/free/en/authors/sijia-luo/)
- [Xiaokang Zhang](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/)

## 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/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 49 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/mengshu-sun/cited-by/).

Updated 31 October 2026
