--- title: "Chenxi Whitehouse · Capital One — author profile and papers" description: "Chenxi Whitehouse, Capital One: 4 papers on Elamur Research (2023–2026), h-index 7 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/chenxi-whitehouse/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenxi-whitehouse/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chenxi Whitehouse # Chenxi Whitehouse Chenxi Whitehouse has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/), [Akim Tsvigun](https://md.research.elamur.ai/free/en/authors/akim-tsvigun/), [Alham Fikri Aji](https://md.research.elamur.ai/free/en/authors/alham-fikri-aji/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5047340661) · [**h-index 7**](https://openalex.org/authors/A5047340661) · [53 works](https://openalex.org/works?filter=author.id:A5047340661) · [194 citations](https://openalex.org/works?filter=author.id:A5047340661&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/#papers) · [🔗 Cited 273 times in our library](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6349](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6349) 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=Chenxi+Whitehouse) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chenxi+Whitehouse) · [dblp](https://dblp.org/search?q=Chenxi+Whitehouse) · [ACL Anthology](https://aclanthology.org/search/?q=Chenxi+Whitehouse) ## Affiliations [🎓**University of Cambridge** Cambridge · United Kingdom 2023–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🏢**Capital One** Tysons Corner · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/capital-one/) · [🏢**Meta** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/meta-united-kingdom/) · [🎓**City, University of London** London · United Kingdom 2022–2023 · 7 papers](https://ror.org/04489at23) · [🎓**Technische Universität Darmstadt** Darmstadt · Germany 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/technische-universitat-darmstadt/) 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 7 Research subjects and languages the work is about.[Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](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/chenxi-whitehouse/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection](https://md.research.elamur.ai/free/en/papers/wang-2023-m4-multi-generator-multi-domain/)** *(2023 · 107 citations)* People can barely tell LLM output from human writing, and earlier detection resources were narrow: mostly English-only, built around one generator such as ChatGPT, or limited to a single domain like news. 2. **[CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark](https://md.research.elamur.ai/free/en/papers/romero-2024-cvqa-culturally-diverse-multilingual-visual/)** *(2024 · 90 citations)* Most VQA benchmarks are English-only or cover a few major languages. Multilingual ones often translate questions while reusing Western-centric images, so they say little about whether vision-language models understand non-Western cultures. CVQA addresses this with a benchmark built through cross-community… 3. **[What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations](https://md.research.elamur.ai/free/en/papers/liu-2025-what-is-that-talk-about/)** *(2025 · 13 citations)* Large multimodal models handle general videos fairly well, but they struggle with scientific talks, which contain specialized vocabulary, figures and tables. 4. **[Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation](https://md.research.elamur.ai/free/en/papers/radharapu-2026-calibrating-llm-judges-linear-probes/)** *(2026)* LLM judges are now widely used to score model outputs and supply reward signals, but they tend to be overconfident. ## All works 8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection arXiv:2305.14902**Yuxia Wang, Jonibek Mansurov, Petar Ivanov, et al.*2023 · 107 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-m4-multi-generator-multi-domain/) 2. **[LLM-powered Data Augmentation for Enhanced Cross-lingual Performance ↗](https://aclanthology.org/2023.emnlp-main.44/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chenxi Whitehouse, Monojit Choudhury, Alham Fikri Aji*2023 · 91 citations* 3. **[CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark](https://md.research.elamur.ai/free/en/papers/romero-2024-cvqa-culturally-diverse-multilingual-visual/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, et al.*2024 · 90 citations* 4. **[What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations](https://md.research.elamur.ai/free/en/papers/liu-2025-what-is-that-talk-about/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dongqi Liu, Chenxi Whitehouse, Xi Yu, et al.*2025 · 13 citations* 5. **[Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks ↗](https://arxiv.org/abs/2602.05125) arXiv:2602.05125 · no summary yet**William F. Shen et al.*2026 · 9 citations* 6. **[Training AI Co-Scientists Using Rubric Rewards ↗](https://arxiv.org/abs/2512.23707) arXiv:2512.23707 · no summary yet**Shashwat Goel et al.*2025 · 6 citations* 7. **[Reasoning over mathematical objects: on-policy reward modeling and test time aggregation ↗](https://arxiv.org/abs/2603.18886) arXiv (Cornell University) · no summary yet**Pranjal Aggarwal et al.*2026 · 1 citation* 8. **[Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation](https://md.research.elamur.ai/free/en/papers/radharapu-2026-calibrating-llm-judges-linear-probes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.*2026* ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Adina Williams](https://md.research.elamur.ai/free/en/authors/adina-williams/) - [Akim Tsvigun](https://md.research.elamur.ai/free/en/authors/akim-tsvigun/) - [Alham Fikri Aji](https://md.research.elamur.ai/free/en/authors/alham-fikri-aji/) - [Artem Shelmanov](https://md.research.elamur.ai/free/en/authors/artem-shelmanov/) - [Atnafu Lambebo Tonja](https://md.research.elamur.ai/free/en/authors/atnafu-lambebo-tonja/) - [Bontu Fufa Balcha](https://md.research.elamur.ai/free/en/authors/bontu-fufa-balcha/) - [Chenyang Lyu](https://md.research.elamur.ai/free/en/authors/chenyang-lyu/) - [Dongqi Liu](https://md.research.elamur.ai/free/en/authors/dongqi-liu/) - [Injy Hamed](https://md.research.elamur.ai/free/en/authors/injy-hamed/) - [Jinyan Su](https://md.research.elamur.ai/free/en/authors/jinyan-su/) - [Jonibek Mansurov](https://md.research.elamur.ai/free/en/authors/jonibek-mansurov/) - [Kenneth Li](https://md.research.elamur.ai/free/en/authors/kenneth-li/) ## 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 Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 273 times (of the 149,439 papers whose bibliographies we read); [69 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenxi-whitehouse/cited-by/). Updated 2 November 2026