Rachel Miles

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Safety Research — 12 citations into it

Whom Rachel Miles trusts

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

1. Thilo Hagendorff (in Safety Research)

Papers from Rachel Miles's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Language Models are Unsupervised Multitask Learners
4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
5. Improving Language Understanding by Generative Pre-Training
6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
7. On the Opportunities and Risks of Foundation Models
8. Evaluating Large Language Models Trained on Code (arXiv.org)
9. Fine-Tuning Language Models from Human Preferences
10. Ethical and social risks of harm from Language Models

Their papers

• Design Principles for Generative AI Applications (2024) — 303 citations