Robert MacKnight

Nature · 2023

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

Whom Robert MacKnight trusts overall

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

1. Jieyi Long
2. Kevin Maik Jablonka

Papers from Robert MacKnight's perspective

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

1. Scaling Laws for Neural Language Models (arXiv.org)
2. Chain of Thought Prompting Elicits Reasoning in Large Language Models (Neural Information Processing Systems)
3. Attention is All you Need (Neural Information Processing Systems)
4. GPT-4 Technical Report
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Fine-Tuning Language Models from Human Preferences
7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Language Models are Unsupervised Multitask Learners
10. ImageNet classification with deep convolutional neural networks

Their papers

• Autonomous chemical research with large language models (2023) — 1,096 citations