--- title: "Cam-Tu Nguyen · Nanjing University — author profile and papers" description: "Cam-Tu Nguyen, Nanjing University: 4 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/cam-tu-nguyen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cam-tu-nguyen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cam-Tu Nguyen # Cam-Tu Nguyen Cam-Tu Nguyen has 4 papers in our library, in 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Xiaoliang Wang](https://md.research.elamur.ai/free/en/authors/xiaoliang-wang/), [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/), [Yang Xu](https://md.research.elamur.ai/free/en/authors/yang-xu/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139815684) · [**h-index 0**](https://openalex.org/authors/A5139815684) · [4 works](https://openalex.org/works?filter=author.id:A5139815684) · [0 citations](https://openalex.org/works?filter=author.id:A5139815684&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/cam-tu-nguyen/#papers) · [⭐ Paper Stars ranking: #13269](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13269) 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=Cam-Tu+Nguyen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cam-Tu+Nguyen) · [dblp](https://dblp.org/search?q=Cam-Tu+Nguyen) · [ACL Anthology](https://aclanthology.org/search/?q=Cam-Tu+Nguyen) ## Affiliations [🎓**Nanjing University** Nanjing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 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/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 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/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/cam-tu-nguyen/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Bidirectional Semantic Enhancement for Schema Routing Across Large-Scale Databases](https://md.research.elamur.ai/free/en/papers/wu-2026-bidirectional-semantic-enhancement-schema-routing/)** *(2026)* The paper tackles schema routing: picking the few relevant tables from repositories that may hold thousands of them before an LLM writes SQL. 2. **[LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-llms-meet-isolation-kernel-lightweight/)** *(2026)* Embeddings from LLM-based encoders such as LLM2Vec or Qwen3 often have thousands of dimensions, which makes storage and search expensive. 3. **[Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation](https://md.research.elamur.ai/free/en/papers/yu-2026-thermometer-thoughts-enhancing-llm-s/)** *(2026)* The paper tackles weak exploration in LLM reasoning. Standard stochastic decoding only samples from the model's next-token distribution, so the model keeps reasoning along the same habitual lines. The authors instead change the attention temperature, the factor that sets how sharply attention weights concentrate on… 4. **[TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-trigreason-trigger-based-collaboration-between/)** *(2026)* Large Reasoning Models (LRMs) solve hard problems well, but their long chains of thought make inference slow. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Xiaoliang Wang](https://md.research.elamur.ai/free/en/authors/xiaoliang-wang/) ×2 - [Hai Zhao](https://md.research.elamur.ai/free/en/authors/hai-zhao/) - [Yang Xu](https://md.research.elamur.ai/free/en/authors/yang-xu/) - [Yi Zhao](https://md.research.elamur.ai/free/en/authors/yi-zhao/) - [Yuyang Wu](https://md.research.elamur.ai/free/en/authors/yuyang-wu/) - [Zhangyue Yin](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/) - [Zhibo Zhang](https://md.research.elamur.ai/free/en/authors/zhibo-zhang/) - [Zhiyuan Yu](https://md.research.elamur.ai/free/en/authors/zhiyuan-yu/) - [Zuchao Li](https://md.research.elamur.ai/free/en/authors/zuchao-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [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/) Updated 2 November 2026