AI Papers to Read in 2025
Stay updated with the latest and foundational breakthroughs in AI and Data Science through carefully curated reading suggestions. Returning to Towards Data Science, this series highlights notable AI research papers to follow.
About the Series
This list is a personal, opinionated selection designed to offer insights and provoke critical thinking about the AI field. It is not a compilation of the latest state-of-the-art models but a guide to important topics and overlooked papers that shape AI’s future.
“We don’t need larger models; we need solutions” and “do not expect me to suggest GPT nonsense here.”
This perspective, first shared in a 2022 article, highlights skepticism towards simply bigger models, emphasizing meaningful advancements instead.
Content Overview
- Ten recommended papers with summaries of their contributions.
- Clear explanations on why each paper is significant.
- Additional reading suggestions in dedicated further reading sections.
The goal is to help readers understand and critically assess the current state and future directions of AI research.
Author’s Summary
This AI paper series offers thoughtful analysis and key readings to look beyond hype, guiding informed perspectives on meaningful progress in artificial intelligence.