---
title: "Zulong Chen · Alibaba Group — author profile and papers"
description: "Zulong Chen, Alibaba Group: 4 papers on Elamur Research (2023–2026), h-index 9 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zulong-chen/"
---
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# Zulong Chen

Zulong Chen has 4 papers in our library, in 2023–2026, 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/), [Liangyue Li](https://md.research.elamur.ai/free/en/authors/liangyue-li/), [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5053403488) · [ORCID](https://orcid.org/0000-0003-0807-6889) · [Wikidata](https://www.wikidata.org/wiki/Q130908401) · [**h-index 9**](https://openalex.org/authors/A5053403488) · [58 works](https://openalex.org/works?filter=author.id:A5053403488) · [359 citations](https://openalex.org/works?filter=author.id:A5053403488&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zulong-chen/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/zulong-chen/cited-by/) · [⭐ Paper Stars ranking: #10729](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10729)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2020–2026 · 52 papersEmployment · Director*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Hangzhou Dianzi University** Hangzhou · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/hangzhou-dianzi-university/) · [🎓**Fudan University** Shanghai · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/)

🏛️**Northeastern University Software College** Shenyang · [China](https://md.research.elamur.ai/free/en/countries/china/) Education · master

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

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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** 3 papers](https://md.research.elamur.ai/free/en/authors/zulong-chen/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zulong-chen/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Mixed Distillation Helps Smaller Language Model Better Reasoning](https://md.research.elamur.ai/free/en/papers/li-2023-mixed-distillation-helps-smaller-language/)** *(2023 · 11 citations)* Large language models reason well but are expensive to run. Earlier work on distilling reasoning into compact models mostly transfers only natural-language Chain of Thought (CoT). This paper argues that Program of Thought (PoT), where the model writes executable Python, is a valuable extra training signal. The…
2. **[Long-Chain Reasoning Distillation via Adaptive Prefix Alignment](https://md.research.elamur.ai/free/en/papers/liu-2026-long-chain-reasoning-distillation-adaptive/)** *(2026 · 3 citations)* Small student models often learn poorly from the long, reflective chain-of-thought traces that reasoning models such as DeepSeek-R1 produce.
3. **[Lang2Act: Fine-Grained Visual Reasoning through Self-Emergent Linguistic Toolchains](https://md.research.elamur.ai/free/en/papers/xiong-2026-lang2act-fine-grained-visual-reasoning/)** *(2026)* Lang2Act addresses a weakness of Visual Retrieval-Augmented Generation (VRAG). Many systems sharpen a VLM's view of retrieved document pages with external image operations such as cropping or zooming. These operations separate seeing from reasoning, and a bad crop can permanently remove the evidence needed for the…
4. **[Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration](https://md.research.elamur.ai/free/en/papers/lv-2026-learning-emptiness-de-biasing-listwise/)** *(2026)* Generative listwise rerankers built on LLMs suffer from position bias: their output depends on where a document sits in the prompt, not only on its relevance.

## Co-authors here

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

- [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/) ×2
- [Liangyue Li](https://md.research.elamur.ai/free/en/authors/liangyue-li/) ×2
- [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) ×2
- [Yu Gu](https://md.research.elamur.ai/free/en/authors/yu-gu/) ×2
- [Yukun Yan](https://md.research.elamur.ai/free/en/authors/yukun-yan/) ×2
- [Zhenghao Liu](https://md.research.elamur.ai/free/en/authors/zhenghao-liu/) ×2
- [Chenglin Li](https://md.research.elamur.ai/free/en/authors/chenglin-li/)
- [Defu Lian](https://md.research.elamur.ai/free/en/authors/defu-lian/)
- [Enhong Chen](https://md.research.elamur.ai/free/en/authors/enhong-chen/)
- [Hang Lv](https://md.research.elamur.ai/free/en/authors/hang-lv/)
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/)
- [Hongchao Gu](https://md.research.elamur.ai/free/en/authors/hongchao-gu/)

## 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
- [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 14 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zulong-chen/cited-by/).

Updated 2 November 2026
