---
title: "Shulin Cao — author profile and papers — Elamur Research"
description: "Shulin Cao, North China University of Technology: 3 papers on Elamur Research (2024–2025), h-index 21 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/shulin-cao/"
---
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# Shulin Cao

Shulin Cao has 3 papers in our library, in 2024–2025, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/), [Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/), [Jiajie Zhang](https://md.research.elamur.ai/free/en/authors/jiajie-zhang/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5065882341) · [ORCID](https://orcid.org/0000-0002-3365-4495) · [**h-index 21**](https://openalex.org/authors/A5065882341) · [74 works](https://openalex.org/works?filter=author.id:A5065882341) · [1,687 citations](https://openalex.org/works?filter=author.id:A5065882341&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shulin-cao/#papers) · [🔗 Cited 855 times in our library](https://md.research.elamur.ai/free/en/authors/shulin-cao/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6374](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6374)

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

## Affiliations

[🎓**North China University of Technology** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/north-china-university-of-technology/) · [🎓**Tsinghua University** Beijing · China 2018–2024 · 29 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏛️**Jiangsu Academy of Agricultural Sciences** Nanjing · China 2009–2025 · 24 papersEmployment since 2018 · Institute of Plant Protection](https://ror.org/001f9e125) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2020–2023 · 8 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🏢**Zhipu AI** Beijing · China 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/companies/zhipu-ai/) · [🎓**Northwest A&F University** Yangling · China 2014–2019 · 5 papers](https://ror.org/0051rme32) · [🎓**Yangzhou University** Yangzhou · China 2023–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/yangzhou-university/) · [🎓**Beijing Normal University** Beijing · China 2017–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/beijing-normal-university/)

🏛️**Northwest A and F University** Yangling · [China](https://md.research.elamur.ai/free/en/countries/china/) 2007–2017Education 2007–2017 · College of Plant Protection

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [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 · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Inverted index · 1 work](https://md.research.elamur.ai/free/en/concepts/inverted-index/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shulin-cao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shulin-cao/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/)** *(2024 · 135 citations)* Most long-context benchmarks reward shallow skills. Answers can often be pulled straight from the text, tasks are frequently synthetic, and scoring relies on fragile metrics like F1 or ROUGE. LongBench v2 targets genuine comprehension and reasoning over very long inputs instead. The authors gathered 503 English…
2. **[SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yao-2025-seakr-self-aware-knowledge-retrieval/)** *(2025 · 52 citations)* Adaptive retrieval-augmented generation (RAG) aims to query a search engine only when a large language model actually lacks the knowledge it needs.
3. **[LongReward: Improving Long-context Large Language Models with AI Feedback](https://md.research.elamur.ai/free/en/papers/zhang-2025-longreward-improving-long-context-large/)** *(2025 · 21 citations)* Long-context LLMs are usually fine-tuned on question-answer data that other LLMs generate automatically. That data often contains logical slips, invented facts or incomplete answers, and these flaws carry over into the SFT models. Reinforcement learning could correct such behaviour, but there has been no dependable…

## All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[OpenKE: An Open Toolkit for Knowledge Embedding ↗](https://aclanthology.org/D18-2024/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Xu Han et al.*2018 · 387 citations*
2. **[TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph ↗](https://aclanthology.org/2021.emnlp-main.341/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiaxin Shi et al.*2021 · 162 citations*
3. [**LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204**Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/)
4. **[KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ↗](https://aclanthology.org/2022.acl-long.422/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shulin Cao et al.*2022 · 135 citations*
5. **[SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yao-2025-seakr-self-aware-knowledge-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Yao, Weijian Qi, Liangming Pan, et al.*2025 · 52 citations*
6. **[LongReward: Improving Long-context Large Language Models with AI Feedback](https://md.research.elamur.ai/free/en/papers/zhang-2025-longreward-improving-long-context-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Zhang, Zhongni Hou, Xin Lv, et al.*2025 · 21 citations*

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Juanzi Li](https://md.research.elamur.ai/free/en/authors/juanzi-li/) ×3
- [Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/) ×3
- [Jiajie Zhang](https://md.research.elamur.ai/free/en/authors/jiajie-zhang/) ×2
- [Xin Lv](https://md.research.elamur.ai/free/en/authors/xin-lv/) ×2
- [Yuxiao Dong](https://md.research.elamur.ai/free/en/authors/yuxiao-dong/) ×2
- [Hao Peng](https://md.research.elamur.ai/free/en/authors/hao-peng/)
- [Jiazheng Xu](https://md.research.elamur.ai/free/en/authors/jiazheng-xu/)
- [Jie Tang](https://md.research.elamur.ai/free/en/authors/jie-tang/)
- [Liangming Pan](https://md.research.elamur.ai/free/en/authors/liangming-pan/)
- [Ling Feng](https://md.research.elamur.ai/free/en/authors/ling-feng/)
- [Shangqing Tu](https://md.research.elamur.ai/free/en/authors/shangqing-tu/)
- [Weijian Qi](https://md.research.elamur.ai/free/en/authors/weijian-qi/)

## 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/) ×3: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 855 times (of the 149,439 papers whose bibliographies we read); [216 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shulin-cao/cited-by/).

Updated 2 November 2026
