The article outlines the rapid surge of Agentic AI research in 2026, citing arXiv statistics, conference participation, a curated 324‑paper collection, and practical tips for using AI agents like Codex to streamline repetitive research tasks while warning against over‑reliance.
The article highlights the rapid surge of agentic AI research in 2026—arXiv shows about 9,000 papers with 99% published after 2023, monthly additions of ~1,000, a three‑fold yearly increase, 24% of ICML2026 workshops focused on agents, and a curated list of 322 top papers plus practical modules, while warning against over‑reliance on AI tools.
This free collection gathers 127 top‑conference papers covering 17 large‑model research directions—from perception and decision to safety—providing PDFs, GitHub links, and a web interface to help AI engineers, researchers, and students stay up‑to‑date.
This article surveys 174 recent attention‑mechanism modifications from 2024‑2025, summarizing each paper’s core idea, performance gains, and code links while offering practical guidance on selecting and integrating the right attention variant for tasks such as object detection.
