---
title: "Shichun Liu · Fudan University — author profile and papers"
description: "Shichun Liu, Fudan University: 2 papers on Elamur Research (2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shichun-liu/"
---
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# Shichun Liu

Shichun Liu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chengjun Xiao](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/), [Jingqi Tong](https://md.research.elamur.ai/free/en/authors/jingqi-tong/), [Junzhe Wang](https://md.research.elamur.ai/free/en/authors/junzhe-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5076525382) · [ORCID](https://orcid.org/0009-0003-0312-9846) · [**h-index 12**](https://openalex.org/authors/A5076525382) · [36 works](https://openalex.org/works?filter=author.id:A5076525382) · [813 citations](https://openalex.org/works?filter=author.id:A5076525382&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shichun-liu/#papers) · [🔗 Cited 144 times in our library](https://md.research.elamur.ai/free/en/authors/shichun-liu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10313](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10313)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2024–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**China University of Petroleum, East China** Qingdao · China 2021–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/china-university-of-petroleum-east-china/) · [🎓**Northwest Normal University** Lanzhou · China 2018–2022 · 6 papers](https://ror.org/00gx3j908)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

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

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/)** *(2026 · 4 citations)* Coding scaffolds such as Claude Code, Kilo and Droid turn LLMs into repository-level agents. Existing evaluations are either single-turn instruction-following tests or outcome-based agent benchmarks that check whether tests pass. Neither shows whether an agent respects rules that come from many sources and must be…
2. **[LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-llmeval-fair-large-scale-longitudinal/)** *(2026 · 3 citations)* Fixed public test sets can leak into training corpora and be overfitted, so leaderboard scores may overstate real LLM ability.

## All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models ↗](https://arxiv.org/abs/2303.10420) arXiv:2303.10420 · no summary yet**Junjie Ye et al.*2023 · 283 citations*
2. **[Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ↗](https://arxiv.org/abs/2402.05808) arXiv:2402.05808 · no summary yet**Zhiheng Xi et al.*2024 · 36 citations*
3. **[OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding](https://md.research.elamur.ai/free/en/papers/ding-2026-octobench-benchmarking-scaffold-aware-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Deming Ding, Shichun Liu, Enhui Yang, et al.*2026 · 4 citations*
4. **[LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-llmeval-fair-large-scale-longitudinal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhang, Yujiong Shen, Jingyi Deng, et al.*2026 · 3 citations*
5. **[ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development ↗](https://aclanthology.org/2026.findings-acl.1142/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jie Yang et al.*2026*

## Co-authors here

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

- [Chengjun Xiao](https://md.research.elamur.ai/free/en/authors/chengjun-xiao/)
- [Jingqi Tong](https://md.research.elamur.ai/free/en/authors/jingqi-tong/)
- [Junzhe Wang](https://md.research.elamur.ai/free/en/authors/junzhe-wang/)
- [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/)
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/)
- [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/)
- [Yue Zhang](https://md.research.elamur.ai/free/en/authors/yue-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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 144 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shichun-liu/cited-by/).

Updated 1 November 2026
