Francesco Baglivo

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 Francesco Baglivo trusts overall

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

1. February Friday

Papers from Francesco Baglivo's perspective

Ordered by how strongly the researchers Francesco Baglivo 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. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
4. Competition-level code generation with AlphaCode
5. Capabilities of GPT-4 on Medical Challenge Problems (arXiv.org)
6. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models (medRxiv)
7. Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation
8. Evaluating Large Language Models
9. The Radicalization Risks of GPT-3 and Advanced Neural Language Models
10. The COVID-19 social media infodemic (Scientific Reports)

Their papers

• ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023) — 584 citations