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Scott Heiner

Scott Heiner has 2 papers in our library, in 2022, most of them on Language models & pretraining, Evaluation & benchmarks; often with Andy Jones, Anna Chen, Craig Pettit.

2 papers in our library · 2022

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 358 times in our library · ⭐ Paper Stars ranking: #4095

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

 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 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 2 worksSocial Sciences · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work

 Works by year

2020s

20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Discovering Language Model Behaviors with Model-Written Evaluations (2022 · 328 citations)
    Testing how language models behave usually relies on datasets written by crowdworkers or built from existing sources.
  2. Measuring Progress on Scalable Oversight for Large Language Models (2022 · 117 citations)
    The paper addresses scalable oversight: how humans can reliably supervise AI systems that may eventually surpass them on the skills a task demands.

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 358 times (of the 149,439 papers whose bibliographies we read); 104 citing papers with a page here →.

Updated

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