Khoa Nguyen
Khoa Nguyen has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Cristian Borcea, Erfan Nourbakhsh, Rocky Slavin.
OpenAlex · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workSoftware · 1 work
🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods (2026)
Benchmark scores for large language models may be inflated because items from public test sets can leak into web-scale training data. - Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics (2026)
LLM-based test generators usually expand coverage through prompt-engineered mutations. These methods cannot reliably steer generation toward a particular execution branch, so risky code paths that may hide bugs or vulnerabilities often go unexercised. The authors present GLMTest, a framework that conditions test…
Co-authors here
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Workshop on Generation, Evaluation and Metrics (GEM): GEM 2026
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/khoa-nguyen/