--- title: "Cheng Xu — author profile and papers — Elamur Research" description: "Cheng Xu, Tianjin University of Technology: 4 papers on Elamur Research (2024–2026), h-index 10 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/cheng-xu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cheng-xu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cheng Xu # Cheng Xu Cheng Xu has 4 papers in our library, in 2024–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Nan Yan](https://md.research.elamur.ai/free/en/authors/nan-yan/), [Shuhao Guan](https://md.research.elamur.ai/free/en/authors/shuhao-guan/), [Yuke Mei](https://md.research.elamur.ai/free/en/authors/yuke-mei/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5091339016) · [ORCID](https://orcid.org/0000-0002-4724-5748) · [**h-index 10**](https://openalex.org/authors/A5091339016) · [88 works](https://openalex.org/works?filter=author.id:A5091339016) · [386 citations](https://openalex.org/works?filter=author.id:A5091339016&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/cheng-xu/#papers) · [🔗 Cited 72 times in our library](https://md.research.elamur.ai/free/en/authors/cheng-xu/cited-by/) · [⭐ Paper Stars ranking: #7860](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7860) 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=Cheng+Xu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cheng+Xu) · [dblp](https://dblp.org/search?q=Cheng+Xu) · [ACL Anthology](https://aclanthology.org/search/?q=Cheng+Xu) ## Affiliations [🎓**Tianjin University of Technology** Tianjin · China 2023–2026 · 54 papers*current*](https://ror.org/00zbe0w13) · [🤝**Smart Innovation Norway** Halden · Norway 2022–2026 · 10 papers*current*](https://ror.org/00amagn10) · [🎓**Technical University of Denmark** Kongens Lyngby · Denmark 2024–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/technical-university-of-denmark/) · [🎓**Southeast University** Nanjing · China 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🎓**Peking University** Beijing · China 2006–2008 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Sociology and Political Science · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 3 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/cheng-xu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/cheng-xu/year/2025/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/cheng-xu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Benchmark Data Contamination of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2024-benchmark-data-contamination-large/)** *(2024 · 85 citations)* Large language models such as GPT-4, Claude-3 and Gemini are trained on web-scale corpora that may already contain the test sets later used to rank them. 2. **[TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection](https://md.research.elamur.ai/free/en/papers/xu-2025-triplefact-defending-data-contamination-evaluation/)** *(2025 · 12 citations)* Large language models can see evaluation benchmarks during pre-training. This benchmark data contamination (BDC) can make fake news detection look better than it really is, because models may recall debunked claims instead of reasoning about them. Static datasets such as LIAR assume test items are unseen, and LLMs… 3. **[Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network](https://md.research.elamur.ai/free/en/papers/fang-2024-advancing-arabic-sentiment-analysis-arsen/)** *(2024 · 4 citations)* Arabic sentiment analysis has few resources, and the common benchmarks (Gold Standard, SemEval) are old and contain fewer than 10,000 items. 4. **[LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection](https://md.research.elamur.ai/free/en/papers/xu-2026-livefact-dynamic-time-aware-benchmark/)** *(2026 · 2 citations)* Benchmarks for fake news detection are mostly fixed snapshots. LLMs may have absorbed them during pre-training (benchmark data contamination, BDC), and they usually hand the model all the evidence at once, which does not match how verification works as a story is still unfolding. LiveFact addresses this with a… ## Co-authors here 4 co-authors with a page, the most papers together first. - [Nan Yan](https://md.research.elamur.ai/free/en/authors/nan-yan/) ×3 - [Shuhao Guan](https://md.research.elamur.ai/free/en/authors/shuhao-guan/) ×3 - [Yuke Mei](https://md.research.elamur.ai/free/en/authors/yuke-mei/) ×2 - [Yang Fang](https://md.research.elamur.ai/free/en/authors/yang-fang/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2024](https://md.research.elamur.ai/free/en/venues/conll/2024/) ## Cited by Papers of our library cite their works 72 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/cheng-xu/cited-by/). Updated 2 November 2026