--- title: "Newton Cheng · University of Oxford — author profile and papers" description: "Newton Cheng, University of Oxford: 2 papers on Elamur Research (2023–2024), h-index 8 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/newton-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/newton-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Newton Cheng # Newton Cheng Newton Cheng has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/), [Meg Tong](https://md.research.elamur.ai/free/en/authors/meg-tong/), [Carson Denison](https://md.research.elamur.ai/free/en/authors/carson-denison/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5058959806) · [**h-index 8**](https://openalex.org/authors/A5058959806) · [14 works](https://openalex.org/works?filter=author.id:A5058959806) · [1,210 citations](https://openalex.org/works?filter=author.id:A5058959806&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/newton-cheng/#papers) · [🔗 Cited 1,974 times in our library](https://md.research.elamur.ai/free/en/authors/newton-cheng/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4219](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4219) 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=Newton+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Newton+Cheng) · [dblp](https://dblp.org/search?q=Newton+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Newton+Cheng) ## Affiliations [🎓**University of Oxford** Oxford · United Kingdom 2023–2024 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🎓**University of California, Berkeley** Berkeley · United States 2019–2023 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Safety Research · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/newton-cheng/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/newton-cheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Towards Understanding Sycophancy in Language Models](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/)** *(2023 · 384 citations)* The paper looks at sycophancy: AI assistants telling users what they seem to want to hear instead of what is accurate. 2. **[Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training](https://md.research.elamur.ai/free/en/papers/hubinger-2024-sleeper-agents-training-deceptive-llms/)** *(2024 · 123 citations)* The paper asks whether an LLM that has learned a hidden, trigger-dependent harmful policy could be cleaned up by today's standard safety training. ## All works 5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations* 2. [**Towards Understanding Sycophancy in Language Models arXiv:2310.13548**Mrinank Sharma, Meg Tong, Tomasz Korbak, et al.*2023 · 384 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/) 3. [**Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training arXiv:2401.05566**Evan Hubinger, Carson Denison, Jesse Mu, et al.*2024 · 123 citations*](https://md.research.elamur.ai/free/en/papers/hubinger-2024-sleeper-agents-training-deceptive-llms/) 4. **[Question Decomposition Improves the Faithfulness of Model-Generated Reasoning ↗](https://arxiv.org/abs/2307.11768) arXiv (Cornell University) · no summary yet**Ansh Radhakrishnan et al.*2023 · 74 citations* 5. **[Specific versus General Principles for Constitutional AI ↗](https://arxiv.org/abs/2310.13798) arXiv (Cornell University) · no summary yet**Sandipan Kundu et al.*2023 · 28 citations* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/) ×2 - [Meg Tong](https://md.research.elamur.ai/free/en/authors/meg-tong/) ×2 - [Carson Denison](https://md.research.elamur.ai/free/en/authors/carson-denison/) - [Daniel M. Ziegler](https://md.research.elamur.ai/free/en/authors/daniel-m-ziegler/) - [David Duvenaud](https://md.research.elamur.ai/free/en/authors/david-duvenaud/) - [Esin Durmus](https://md.research.elamur.ai/free/en/authors/esin-durmus/) - [Evan Hubinger](https://md.research.elamur.ai/free/en/authors/evan-hubinger/) - [Jesse Mu](https://md.research.elamur.ai/free/en/authors/jesse-mu/) - [Monte MacDiarmid](https://md.research.elamur.ai/free/en/authors/monte-macdiarmid/) - [Mrinank Sharma](https://md.research.elamur.ai/free/en/authors/mrinank-sharma/) - [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/) - [Scott Johnston](https://md.research.elamur.ai/free/en/authors/scott-johnston/) ## Cited by Papers of our library cite their works 1,974 times (of the 149,439 papers whose bibliographies we read); [483 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/newton-cheng/cited-by/). Updated 2 November 2026