---
title: "Shenglai Zeng — author profile and papers — Elamur Research"
description: "Shenglai Zeng, Michigan State University: 5 papers on Elamur Research (2025–2026), h-index 9 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/shenglai-zeng/"
---
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# Shenglai Zeng

Shenglai Zeng has 5 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Jiliang Tang](https://md.research.elamur.ai/free/en/authors/jiliang-tang/), [Kai Guo](https://md.research.elamur.ai/free/en/authors/kai-guo/), [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/).

5 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5081817176) · [ORCID](https://orcid.org/0009-0001-9664-8017) · [**h-index 9**](https://openalex.org/authors/A5081817176) · [39 works](https://openalex.org/works?filter=author.id:A5081817176) · [338 citations](https://openalex.org/works?filter=author.id:A5081817176&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/#papers) · [🔗 Cited 75 times in our library](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8656](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8656)

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

## Affiliations

[🎓**Michigan State University** East Lansing · United States 2023–2026 · 25 papersEmployment since 2023 · PhD, CSE*current*](https://md.research.elamur.ai/free/en/universities/michigan-state-university/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2022–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/year/2026/) · [**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Unveiling Privacy Risks in LLM Agent Memory](https://md.research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/)** *(2025 · 33 citations)* LLM agents often keep a long-term memory of earlier user queries paired with the solutions they produced, and they reuse these records as in-context examples.
2. **[Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective](https://md.research.elamur.ai/free/en/papers/zeng-2025-knowledge-checking-retrieval-augmented-generation/)** *(2025 · 14 citations)* RAG systems often fail when the retrieved passages are misleading (for example, after PoisonedRAG-style injection of false answers) or only loosely related to the question. LLMs tend to trust such context over what they already know. The authors frame knowledge checking as four tasks:
3. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/)** *(2025 · 12 citations)* Graph retrieval-augmented generation (GraphRAG) supplements LLMs with facts from knowledge graphs, but the authors show it has two weaknesses.
4. **[Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach](https://md.research.elamur.ai/free/en/papers/zeng-2025-context-robust-llms-gated-representation/)** *(2025 · 5 citations)* LLMs that receive retrieved passages, as in RAG, tend to trust that text too much. Misleading or off-topic passages can override knowledge the model already has. The authors define a "context-robust" LLM by four behaviours:
5. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/)** *(2026)* Personalizing LLMs usually means feeding them long user histories and profiles, which raises inference latency and API costs.

## All works

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

1. **[The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ↗](https://aclanthology.org/2024.findings-acl.267/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Shenglai Zeng et al.*2024 · 146 citations*
2. **[Unveiling Privacy Risks in LLM Agent Memory](https://md.research.elamur.ai/free/en/papers/wang-2025-unveiling-privacy-risks-llm-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Wang, Weiyi He, Shenglai Zeng, et al.*2025 · 33 citations*
3. **[Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective](https://md.research.elamur.ai/free/en/papers/zeng-2025-knowledge-checking-retrieval-augmented-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Shenglai Zeng, Jiankun Zhang, Bingheng Li, et al.*2025 · 14 citations*
4. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Guo, Harry Shomer, Shenglai Zeng, et al.*2025 · 12 citations*
5. **[Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach](https://md.research.elamur.ai/free/en/papers/zeng-2025-context-robust-llms-gated-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Pengfei He, Kai Guo, et al.*2025 · 5 citations*
6. **[Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2026-attn-gs-attention-guided-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.*2026*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Jiliang Tang](https://md.research.elamur.ai/free/en/authors/jiliang-tang/) ×3
- [Kai Guo](https://md.research.elamur.ai/free/en/authors/kai-guo/) ×3
- [Tianqi Zheng](https://md.research.elamur.ai/free/en/authors/tianqi-zheng/) ×3
- [Yue Xing](https://md.research.elamur.ai/free/en/authors/yue-xing/) ×3
- [Dante Everaert](https://md.research.elamur.ai/free/en/authors/dante-everaert/) ×2
- [Hanqing Lu](https://md.research.elamur.ai/free/en/authors/hanqing-lu/) ×2
- [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) ×2
- [Monica Xiao Cheng](https://md.research.elamur.ai/free/en/authors/monica-xiao-cheng/) ×2
- [Pengfei He](https://md.research.elamur.ai/free/en/authors/pengfei-he/) ×2
- [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/)
- [Haoyu Han](https://md.research.elamur.ai/free/en/authors/haoyu-han/)
- [Harry Shomer](https://md.research.elamur.ai/free/en/authors/harry-shomer/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [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/)
- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/)
- Findings of the Association for Computational Linguistics: ACL 2024

## Cited by

Papers of our library cite their works 75 times (of the 149,439 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shenglai-zeng/cited-by/).

Updated 2 November 2026
