Guglielmo Arzilli
Large Language Models · 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.
Subfields
- Large Language Models — 8 citations into it
Whom Guglielmo Arzilli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Guglielmo Arzilli's perspective
Ordered by how strongly the researchers Guglielmo Arzilli trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Competition-level code generation with AlphaCode
- Capabilities of GPT-4 on Medical Challenge Problems (arXiv.org)
- Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models (medRxiv)
- Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation
- Evaluating Large Language Models
- Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News
- The Radicalization Risks of GPT-3 and Advanced Neural Language Models