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Newton Cheng

Newton Cheng has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety; often with Amanda Askell, Meg Tong, Carson Denison.

2 papers in our library · 2023–2024

OpenAlex · h-index 8 · 14 works · 1,210 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,974 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4219

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of OxfordOxford · United Kingdom2023–2024 · 3 paperscurrent🎓University of California, BerkeleyBerkeley · United States2019–2023 · 7 papers

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksSafety Research · 2 worksSocial Sciences · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Understanding Sycophancy in 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 (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 ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
  2. Towards Understanding Sycophancy in Language ModelsarXiv:2310.13548Mrinank Sharma, Meg Tong, Tomasz Korbak, et al.2023 · 384 citations
  3. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingarXiv:2401.05566Evan Hubinger, Carson Denison, Jesse Mu, et al.2024 · 123 citations
  4. Question Decomposition Improves the Faithfulness of Model-Generated Reasoning ↗arXiv (Cornell University) · no summary yetAnsh Radhakrishnan et al.2023 · 74 citations
  5. Specific versus General Principles for Constitutional AI ↗arXiv (Cornell University) · no summary yetSandipan Kundu et al.2023 · 28 citations

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/newton-cheng/