LLM Research Papers: The 2026 List (January to May)
Sebastian Raschka has compiled a curated list of LLM research papers from January to May 2026, focusing on topics he finds particularly relevant. The list highlights advancements in reasoning models, reinforcement learning, and efficient inference, with an increased emphasis on agent harnesses, tool use, and long context windows. Notable papers include those on hybrid architectures like Nemotron 3 and Arcee Trinity, state space layers such as Mamba-3, and efficient MoE capacity allocation. AI
IMPACT Provides a focused overview of emerging LLM research trends and key papers for practitioners.