Large Language Models are Few-Shot Publication Scoopers, SIGBOVIK 2023

🖋️ by Samuel Albanie, Liliane Momeni and Joao F. Henriques

Timestamps:
00:00 - Large Language Models are Few-Shot Publication Scoopers
00:37 - Key scientific questions
02:09 - Our proposed solution

Detailed description:
Driven by recent advances AI, we passengers are entering a golden age of scientific discovery. But golden for whom? Confronting our insecurity that others may beat us to the most acclaimed breakthroughs of the era, we propose a novel solution to the long-standing personal credit assignment problem to ensure that it is golden for us. At the heart of our approach is a pip-to-the-post algorithm that assures adulatory Wikipedia pages without incurring the substantial capital and career risks of pursuing high impact science with conventional research methodologies. By leveraging the meta trend of leveraging large language models for everything, we demonstrate the unparalleled potential of our algorithm to scoop groundbreaking findings with the insouciance of a seasoned researcher at a dessert buffet.

Topics: #SIGBOVIK #ai #cheerios

Links:
- 📄 paper: https://samuelalbanie.com/files/SIGBO...
- 📊 slides (pdf): https://samuelalbanie.com/files/diges...
- 🔨code: https://github.com/albanie/large-lang...

Co-authors
- 🖋️ Lili: https://www.robots.ox.ac.uk/~liliane/
- 🖋️ Joao: https://www.robots.ox.ac.uk/~joao/

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