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AI Papers Academy

Simplifying AI Papers

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# AI Papers Academy

> Simplifying AI Papers


## Posts

- [DeepSeek's mHC Explained: Manifold-Constrained Hyper-Connections](https://aipapersacademy.com/deepseek-mhc/): Manifold-Constrained Hyper-Connections (mHC) explained: How DeepSeek rewires residual connections in LLMs for next-gen AI
- [Emergent Hierarchical Reasoning in LLMs Through Reinforcement Learning](https://aipapersacademy.com/emergent-hierarchical-reasoning-in-llms/): Discover how reinforcement learning enables hierarchical reasoning in LLMs and how HICRA improves on top of GRPO.
- [Less Is More: Tiny Recursive Model (TRM) Paper Explained](https://aipapersacademy.com/tiny-recursive-model/): In this post, we break down the TRM paper, a simpler version of the HRM,  that beats HRM and top reasoning LLMs with a tiny 7M params model.
- [DINOv3 Paper Explained: The Computer Vision Foundation Model](https://aipapersacademy.com/dinov3/): In this post we break down Meta AI's DINOv3 research paper, which introduces a state-of-the-art Computer Vision foundation models family
- [The Era of Hierarchical Reasoning Models?](https://aipapersacademy.com/hierarchical-reasoning-model/): In this post we break down the Hierarchical Reasoning Model (HRM), a new model that rivals top LLMs on reasoning benchmarks with only 27M params!
- [Microsoft’s Reinforcement Pre-Training (RPT) - A New Direction in LLM Training?](https://aipapersacademy.com/reinforcement-pre-training/): In this post we break down Microsoft's Reinforcement Pre-Training, which scales up reinforcement learninng with next-token reasoning  
- [Darwin Gödel Machine: Self-Improving AI Agents](https://aipapersacademy.com/darwin-godel-machine/): In this post we explain the Darwin Gödel Machine, a novel method for self-improving AI agents by Sakana AI
- [Continuous Thought Machines (CTMs) - The Era of AI Beyond Transformers?](https://aipapersacademy.com/continuous-thought-machines/): Dive into Continuous Thought Machines, a novel architecture that strive to push AI closer to how the human brain works
- [Perception Language Models (PLMs) by Meta – A Fully Open SOTA VLM](https://aipapersacademy.com/perception-language-models/): Dive into Perception Language Models by Meta, a family of fully open SOTA vision-language models with detailed visual understanding
- [GRPO Reinforcement Learning Explained (DeepSeekMath Paper)](https://aipapersacademy.com/deepseekmath-grpo/): DeepSeekMath is the fundamental GRPO paper, the reinforcement learning method used in DeepSeek-R1. Dive in  to understand how it works
- [DAPO: Enhancing GRPO For LLM Reinforcement Learning](https://aipapersacademy.com/dapo/): Explore DAPO, an innovative open-source Reinforcement Learning paradigm for LLMs that rivals DeepSeek-R1 GRPO method.
- [Cheating LLMs & How (Not) To Stop Them | OpenAI Paper Explained](https://aipapersacademy.com/cheating-llms/): Discover how OpenAI's research reveals AI models cheating the system through reward hacking — and what happens when trying to s
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