LLM Research Papers: The 2026 List (January to May)
Ahead of AI Sebastian Raschka, PhD
The article is a curated list of large language model research papers published between January and May 2026, organized into categories including architecture design, efficient training, inference optimization, reasoning models, and reinforcement learning. The author bookmarked approximately 40+ papers across 10 categories with particular emphasis on reasoning models, reinforcement learning, and long-context efficiency, highlighting Nemotron-3 Super (120B parameters) as a standout example using hybrid attention-Mamba architecture. This compilation serves as a reference tool for the author's ongoing work on articles, code, and lectures, with the expectation that readers can use it to discover relevant papers in areas like agent systems, tool use, and practical serving infrastructure.
Why it matters
A curated roundup of notable LLM research papers that came out this year
