LLM Research Papers: The 2025 List (July to December)
Summary
A curated list of interesting research articles from July to December 2025 has been compiled and categorized for technical readers. This list, a follow-up to a June 2025 compilation, includes papers on diverse topics such as Reasoning Models (covering training, inference strategies, and evaluation), other Reinforcement Learning methods for LLMs, and various Inference-Time Scaling methods. It also features Model Releases/Technical Reports, Architectures, Efficient Training techniques, Diffusion-Based Language Models, and Multimodal & Vision-Language Models, alongside Data & Pre-training Datasets. The author skimmed abstracts but read only a small fraction, maintaining the list for future project reference. This compilation was originally intended for the "State of LLMs 2025" review but was published separately to enhance readability.
Key takeaway
For AI Researchers or AI Scientists seeking to stay current with LLM advancements, this categorized list of research papers from July-December 2025 provides a valuable, organized resource. You should review the specific categories, such as Reasoning Models or Multimodal LLMs, to quickly identify relevant studies for your ongoing projects or to inform future research directions, saving time in literature review.
Key insights
A categorized list of LLM research papers from July-December 2025 offers a structured resource for practitioners.
Principles
- Categorize research for easier navigation
- Separate long content for improved readability
In practice
- Review categorized lists for project relevance
- Explore specific LLM sub-fields like reasoning or multimodal models
Topics
- Reasoning Models
- Reinforcement Learning for LLMs
- Inference-Time Scaling
- Diffusion Language Models
- Multimodal AI
Best for: AI Researcher, AI Scientist, AI Student
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Ahead of AI.