A curated collection of over 200 LLM research papers from the first half of 2025, organized by topic rather than chronologically. The list focuses heavily on reasoning models, covering training strategies, inference-time scaling methods, and evaluation approaches. Major categories include reinforcement learning methods, efficient training architectures, multimodal models, and diffusion-based language models. The author plans to provide detailed analysis of key papers in future articles.
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