G. Privitera
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 G. Privitera trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- February Friday (in Evaluation & Benchmarks)
Papers from G. Privitera's perspective
Ordered by how strongly the researchers G. Privitera 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)
- Evaluating Large Language Models
- Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation
- 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