… In the report, we summarize improvements in model design, multimodal training, reinforcement learning, toolchain expansion, and agent-framework integration, together with practical insights on building multimodal agents. …
… At each window expansion step, the method integrates local uncertainty with structural signals via a unified mechanism that supports dynamic structured generation, including both flexible block expansion and block organization, while maintaining coherence. …
… View arXiv page View PDF GitHub 4 Add to collection Community 📄 Paper: https://arxiv.org/abs/2605.06638 the thing that sticks with me is the reported power law T ∝ D^γ and the fact that γ grows as you move from simple implication to richer first-order logic. that hints expressiveness, not just hori… …
… To further enhance the quality, we propose a detail enhancer network that generates fine details of the world. The detail enhancer enables the addition of fine-grained details without compromising overall scene coherence by incorporating global structure information. …
… The following papers were recommended by the Semantic Scholar API Large Language Models for Multilingual Code Intelligence: A Survey 2026 English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training 2026 FLeX: Fourier-based Low-rank EXpansion for multilingu… …
… The following papers were recommended by the Semantic Scholar API Taming Sampling Perturbations with Variance Expansion Loss for Latent Diffusion Models 2026 RPiAE: A Representation-Pivoted Autoencoder Enhancing Both Image Generation and Editing 2026 Latent-Compressed Variational Autoencoder for Vi… …