Samuel Greiff

Artificial Intelligence · with Gasevic · 2024

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Science Applications — 12 citations into it
• Developmental and Educational Psychology — 6 citations into it
• Safety Research — 5 citations into it

Whom Samuel Greiff trusts overall

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

1. John A. C. Hattie
2. Min Yang
3. Duri Long
4. R. Cant
5. Robert A. Bjork
6. Joshua Maynez

Papers from Samuel Greiff's perspective

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

1. Extracting Training Data from Large Language Models
2. Attention is All you Need (Neural Information Processing Systems)
3. On Faithfulness and Factuality in Abstractive Summarization
4. Survey of Hallucination in Natural Language Generation
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. The Power of Feedback
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models (medRxiv)
9. ImageNet classification with deep convolutional neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Promises and challenges of generative artificial intelligence for human learning (2024) — 373 citations