Sam Manning

Economics & Operations Research · 2023

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Manning trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Daron Acemoglu
  2. Erik Brynjolfsson
  3. Edward W. Felten
  4. Michael Webb
  5. T. Bresnahan
  6. David H. Autor
  7. C. Frey
  8. P. Restrepo
  9. Daniel Rock
  10. Manav Raj

Papers from Sam Manning's perspective

Ordered by how strongly the researchers Sam Manning trusts endorse each paper. Same corpus, a different order for every researcher.

  1. What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
  2. Language Models are Unsupervised Multitask Learners
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. The Impact of Artificial Intelligence on the Labor Market
  6. AI and Jobs: Evidence from Online Vacancies
  7. The future of employment: How susceptible are jobs to computerisation?
  8. A Method to Link Advances in Artificial Intelligence to Occupational Abilities
  9. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  10. What can machine learning do? Workforce implications

Their papers