---
title: "Zekai Shao · Fudan University — author profile and papers"
description: "Zekai Shao, Fudan University: 2 papers on Elamur Research (2023–2026), h-index 7 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zekai-shao/"
---
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# Zekai Shao

Zekai Shao has 2 papers in our library, in 2023–2026, 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 [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/), [Can Zu](https://md.research.elamur.ai/free/en/authors/can-zu/), [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5066496299) · [ORCID](https://orcid.org/0000-0003-2014-5293) · [**h-index 7**](https://openalex.org/authors/A5066496299) · [12 works](https://openalex.org/works?filter=author.id:A5066496299) · [326 citations](https://openalex.org/works?filter=author.id:A5066496299&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zekai-shao/#papers) · [🔗 Cited 110 times in our library](https://md.research.elamur.ai/free/en/authors/zekai-shao/cited-by/) · [⭐ Paper Stars ranking: #5633](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5633)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2023–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/)

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 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 · 2 works](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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zekai-shao/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zekai-shao/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models](https://md.research.elamur.ai/free/en/papers/ye-2023-comprehensive-capability-analysis-gpt-3/)** *(2023 · 283 citations)* Earlier studies of OpenAI's GPT models mostly compared one model against fine-tuned systems. This paper instead follows how NLU capabilities change across the lineage from GPT-3 to GPT-3.5, and how each training step affects them. The authors test six models: davinci, text-davinci-001, code-davinci-002…
2. **[MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2026-maspo-unifying-gradient-utilization-probability/)** *(2026 · 7 citations)* RLVR methods like GRPO inherit PPO-style hard clipping, which the authors argue is poorly suited to how LLMs learn reasoning.

## Co-authors here

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

- [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/)
- [Can Zu](https://md.research.elamur.ai/free/en/authors/can-zu/)
- [Jie Zhou](https://md.research.elamur.ai/free/en/authors/jie-zhou/)
- [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/)
- [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/)
- [Lu Pan](https://md.research.elamur.ai/free/en/authors/lu-pan/)
- [Nuo Xu](https://md.research.elamur.ai/free/en/authors/nuo-xu/)
- [Shichun Liu](https://md.research.elamur.ai/free/en/authors/shichun-liu/)
- [Siming Chen](https://md.research.elamur.ai/free/en/authors/siming-chen/)
- [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/)

## 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/)

## Cited by

Papers of our library cite their works 110 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zekai-shao/cited-by/).

Updated 2 November 2026
