Daniel M. Ziegler
Daniel M. Ziegler has 2 papers in our library, in 2021–2024, most of them on Summarization, Bias, fairness & safety; often with Amanda Askell, Carson Denison, Evan Hubinger.
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📄 2 works in our library · 🔗 Cited 226 times in our library · ⭐ Paper Stars ranking: #5304
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work
🧭 Topics 2Research subjects and languages the work is about.Summarization · 1 workBias, fairness & safety · 1 work
Works by year
2020s
Papers
- Recursively Summarizing Books with Human Feedback (2021 · 208 citations)
The paper addresses scalable oversight: how to get a useful training signal when a task is too long or demanding for people to judge directly. - 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.
Co-authors here
- Amanda Askell
- Carson Denison
- Evan Hubinger
- Jan Leike
- Jeff Wu
- Jesse Mu
- Long Ouyang
- Meg Tong
- Monte MacDiarmid
- Newton Cheng
- Paul Christiano
- Ryan Lowe
Cited by
Updated
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