This page shows the most relevant public items for cs.AI, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 13, 2026 • arXiv • Krish Agarwal, Zhuoming Chen, Cheng Luo, Beidi Chen
The quadratic complexity of attention severely limits the context scalability of Video Diffusion Transformers (DiTs). We find that the sparse spatio-temporal attention patterns in Video DiTs can be...
Paper • Feb 8, 2026 • arXiv • Hao Li, Richard Peng, Sanjit Singh, Gregory D. Lyng
SkillRL is a framework that enables LLM agents to learn high-level, reusable behavioral patterns from past experiences. While traditional memory-based methods store redundant and noisy raw trajecto...
Paper • Feb 12, 2026 • arXiv • Xiaoyuan Liu, Tian Liang, Dongyang Ma, Haitao Mi
A fundamental limitation of current LLMs is their stateless, autoregressive nature. They are passive predictors designed to perform sequence completion within an externally-provided context, unable...
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