How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining Paper • 2609.35457 • Published 4 days ago • 65
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning Paper • 2609.35767 • Published 4 days ago • 47
Just MLPs: Efficient Visual State Reconstruction for Multimodal Language Models Paper • 2609.34972 • Published 4 days ago • 28
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published 6 days ago • 26
SenseNova-U1.5: Towards Native Unified Visual Intelligence Paper • 2609.11929 • Published 22 days ago • 277
SpatialBlock: Enhancing Spatial Intelligence in LVLMs via Synthetic Block-Stacking Problem Paper • 2609.07064 • Published 25 days ago • 147
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference Paper • 2609.05275 • Published 28 days ago • 26
Granite 4.2 Language Models Collection Efficient reasoning and thinking language models for multilingual generation, coding, and AI assistant workflows. • 24 items • Updated 17 days ago • 43
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published Aug 17 • 52
DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data Paper • 2608.13517 • Published Aug 13 • 33
Improving the matrix multiplication exponent with modern optimization and AlphaEvolve Paper • 2608.16884 • Published Aug 17 • 20
Modular Cognitive Architecture Emerges in Large Language Models Paper • 2608.13567 • Published Jun 27 • 16
Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model Paper • 2607.24904 • Published Jul 27 • 37
Chimera: Designing and Chinchilla-Scaling Hybrid Visual Diffusion Transformers Paper • 2607.28611 • Published Jul 30 • 23
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning Paper • 2607.21653 • Published Jul 22 • 34