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Oct 27, 2026
plus more about BeNice, Large Flow LM, and Why is AI-generated language so hard to understand?
Oct 20, 2026
plus more about Generative Representation Learning, Understanding LLM Parameter Update Sparsity, and Depth Memory
Oct 13, 2026
Plus more about Looped Transformers Memory and Multi-Agent Self-Supervision
Oct 6, 2026
Looped DiT, Looped Models Done Right, Looped For Free, and Triadic Linear Attention
Sep 29, 2026
Plus more about Memory Attention, JEPA-Anything, and Contrastive World Models
Sep 24, 2026
Plus more about Score Centering, Learning From Hard Problems, and FlashREINFORCE
Sep 15, 2026
Plus more about Thinking with Looped Flows, Recurrent Looped Transformers, and Don't Do Dropouts
Sep 9, 2026
Plus more about TTPO, Normalized LoRA, and Fast Weight Attention for Continual Learning
Sep 1, 2026
Plus more about LeVJEPA, Code World Model, and Gemini's AI Scientist
Aug 25, 2026
plus more about SPADE, skill issue, and Q-learning with World Models
Aug 19, 2026
Plus more about Full-Bandwidth Transformer, Small Scaling Law, and SFT Conflicts RL Coexists
Aug 11, 2026
plus more about Leanstral, Towards Physics of Multimodal Pretraining, and loss does not see the basis
Aug 4, 2026
Plus more about Memory Foundation Model, Weak-to-Strong OPD, and LeRoPE
Jul 29, 2026
plus more about Hilbert Operator for Progressive Encoding, RLVR-Native Optimization Stack, Soap & Muon At Scale, and Measuring Reward-Seeking
Jul 21, 2026
plus more about Concurrent Image Understanding and Generation, Latent and Explicit Reasoning with Looped Transformers and more
Jul 14, 2026
Plus more about Single Async Opt for Agentic RL, Remember When It Matters, and Sparse Delta Memory
Jul 7, 2026
plus more about AdaJEPA, Program-as-Weights, The World Is In Your Mind, and Dual On-policy Distillation
Jun 30, 2026
plus more about Tapered LMs, Improved LLDMs, AutoData, and You Don't Need To Run Every Eval
Jun 23, 2026
plus more about Looped World Models, Fixed-Point Reasoners, and ExpRL
Jun 16, 2026
plus more about FlashMemory-DeepSeek-V4, Trajectory-Refined Distillation, Test-Time Gradient Guidance, and End-to-End Context Compression at Scale
Jun 9, 2026
plus more about If LLMs Have Human-Like Attributes, Then So Does Age of Empires II, Cosmos 3, and Robots Need More than VLA and World Models
Jun 2, 2026
plus more about Bitter Lesson in Data Filtering, Do Language Models Need Sleep, and Neural Weight Norm.
May 26, 2026
plus more on the Benefits of Subword Tokenization, HRM-Text, Probabilistic Tiny Recursive Model, and Vector Policy Optimization
May 19, 2026
plus more about Self-distilled Agentic RL, Embedded Language Flows, and Negation Neglect
May 12, 2026
plus more on Sparser, Faster, Lighter Transformer LMs, Manifold Steering, and Teaching Claude Why
