--- title: "Zheni Zeng — author profile and papers — Elamur Research" description: "Zheni Zeng, Nanjing University of Science and Technology: 3 papers on Elamur Research (2023–2026), h-index 7 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/zheni-zeng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zheni-zeng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zheni Zeng # Zheni Zeng Zheni Zeng has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/), [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/), [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5008361378) · [ORCID](https://orcid.org/0000-0001-6901-5292) · [**h-index 7**](https://openalex.org/authors/A5008361378) · [37 works](https://openalex.org/works?filter=author.id:A5008361378) · [479 citations](https://openalex.org/works?filter=author.id:A5008361378&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zheni-zeng/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/zheni-zeng/cited-by/) · [⭐ Paper Stars ranking: #4370](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4370) 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=Zheni+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheni+Zeng) · [dblp](https://dblp.org/search?q=Zheni+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Zheni+Zeng) ## Affiliations [🎓**Tsinghua University** Beijing · China 2020–2026 · 24 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Nanjing University** Nanjing · China 2025–2026 · 7 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2021–2025 · 2 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [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/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zheni-zeng/year/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/zheni-zeng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/)** *(2023 · 383 citations)* This survey asks how large pretrained models can learn to operate external tools such as search engines, calculators, databases, image generators and robots. 2. **[ConPET: Continual Parameter-Efficient Tuning for Large Language Models](https://md.research.elamur.ai/free/en/papers/song-2023-conpet-continual-parameter-efficient-tuning/)** *(2023 · 14 citations)* Adapting large language models to a stream of new tasks is costly when every update changes all weights. Full fine-tuning also tends to erase skills learned on earlier tasks, a problem known as catastrophic forgetting. Song et al. propose ConPET, a framework for continual task adaptation of LLMs in which training… 3. **[ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-thinknote-enhancing-knowledge-integration-utilization/)** *(2026 · 2 citations)* LLMs often struggle to use retrieved external knowledge reliably. Noisy, incomplete or unfamiliar evidence can produce inconsistent answers and hallucinations. ThinkNote addresses this by treating the model as an active builder of knowledge rather than a passive reader of context, drawing on constructivist learning… ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Chaojun Xiao](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/) ×2 - [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) ×2 - [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/) - [Chenyan Xiong](https://md.research.elamur.ai/free/en/authors/chenyan-xiong/) - [Chi Han](https://md.research.elamur.ai/free/en/authors/chi-han/) - [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) - [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/) - [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) - [Ning Ding](https://md.research.elamur.ai/free/en/authors/ning-ding/) - [Shengding Hu](https://md.research.elamur.ai/free/en/authors/shengding-hu/) - [Shi Yu](https://md.research.elamur.ai/free/en/authors/shi-yu/) - [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/): [ACM Computing Surveys 2023](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2023/) - [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 218 times (of the 149,439 papers whose bibliographies we read); [55 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zheni-zeng/cited-by/). Updated 31 October 2026