Category: Deep Learning

• Hierarchical Reasoning Model
• Andrew Ng Launches Free LLM Post-Training Course, Covering Three Major Optimization Methods: SFT, DPO, RL
• A Recent Survey on Continual Reinforcement Learning Technologies
• Alibaba Open-Sources Breakthrough Agent Overnight, Directly Challenges OpenAI with State-of-the-Art Performance!
• Did "More is Better" Fail? ModelSwitch Jumps Out of the Sampling Black Hole, Rewriting the LLM Inference Paradigm
• Kaiming He's New Work: Adding Regularization to Diffusion Models for Performance Improvement with No Pre-training or Data Augmentation, Simple to Implement
• R1-like Training No Longer Just Focuses on Result Correctness! CUHK Launches SophiaVL-R1 Model
• 10 Lines of Code, 15% Improvement in AIME24/25! Unveiling the Entropy Mechanism in Large Language Model Reinforcement Learning
• No Manual Annotation Needed! AI Self-Generates Training Data, Unlocking Reasoning Capabilities via "Deduction-Induction-Abduction"
• Deep Learning: Mamba Core Author's New Work Replaces DeepSeek's Attention Mechanism, Designed for Inference
• Andrej Karpathy Praises Stanford Team's New Work: Achieving Millisecond-Level Inference with Llama-1B
• All-In Podcast Transcript: Gemini Leads "Infinite Context," AI Ascends from Tool to Cognitive Collaborator
• How She Brought "System 2" to Large Language Models | An Interview with Dr. Li Zhang from Microsoft Research Asia
• Quanta: Hopfield Networks: The Emergent Physics That Gave Birth to AI
• Google | Tracing RAG System Errors: Proposing a Selective Generation Framework to Boost RAG Accuracy by 10%
• Global Attention + Positional Attention Refresh SOTA! Nearly 100% Accuracy!