--- title: "Cuong Pham · Monash University — author profile and papers" description: "Cuong Pham, Monash University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/cuong-pham/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cuong-pham/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cuong Pham # Cuong Pham Cuong Pham 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chinh Nguyen](https://md.research.elamur.ai/free/en/authors/chinh-nguyen/), [Minh Nguyen](https://md.research.elamur.ai/free/en/authors/minh-nguyen/), [Trung Le](https://md.research.elamur.ai/free/en/authors/trung-le/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5121564103) · [**h-index 0**](https://openalex.org/authors/A5121564103) · [4 works](https://openalex.org/works?filter=author.id:A5121564103) · [0 citations](https://openalex.org/works?filter=author.id:A5121564103&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/cuong-pham/#papers) · [🔗 Cited 1 time in our library](https://md.research.elamur.ai/free/en/authors/cuong-pham/cited-by/) · [⭐ Paper Stars ranking: #11470](https://md.research.elamur.ai/free/en/paper-stars/page/115/#star-11470) 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=Cuong+Pham) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cuong+Pham) · [dblp](https://dblp.org/search?q=Cuong+Pham) · [ACL Anthology](https://aclanthology.org/search/?q=Cuong+Pham) ## Affiliations [🎓**Monash University** Melbourne · Australia 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/monash-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).[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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [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/cuong-pham/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code Detection](https://md.research.elamur.ai/free/en/papers/pham-2026-uit-ammc-semeval-2026-task/)** *(2026 · 1 citation)* This system addresses SemEval-2026 Task 13 Subtask A: deciding whether a code snippet was written by a human or generated by AI. 2. **[Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models](https://md.research.elamur.ai/free/en/papers/pham-2026-layer-wise-high-impact-parameter/)** *(2026)* Post-training quantization (PTQ) of LLMs works well at 4 bits but degrades badly at around 2–3 bits. A major cause is a small set of high-impact weights. Earlier fixes such as AWQ, CherryQ and SqueezeLLM protect these weights with one fixed ratio for every layer. Some of them also use element-wise or non-uniform… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Chinh Nguyen](https://md.research.elamur.ai/free/en/authors/chinh-nguyen/) - [Minh Nguyen](https://md.research.elamur.ai/free/en/authors/minh-nguyen/) - [Trung Le](https://md.research.elamur.ai/free/en/authors/trung-le/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/cuong-pham/cited-by/). Updated 1 November 2026