arXiv:2608. 12348v2 Announce Type: replace-cross Abstract: Streaming systems increasingly hand work to large language models (LLMs): writing pipelines, triaging alerts, reading logs.
By Zhuoxi Wang, Shibo Zheng, Haoyu Zhang
arXiv:2609.38612v1 Announce Type: new
Abstract: As natural language drives more applications, language models increasingly run inside programs as decision components: the program sends them the curre...
By Jhen-Ke Lin, Chung Chun Wang
arXiv:2608. 07911v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models have outgrown accelerator memory, and offloading expert weights to host memory is now standard.
By Yu Zhang
arXiv:2607. 05690v2 Announce Type: replace Abstract: Language agents run a loop - observe, reason, act - but the memory they reason over sits outside it: a store queried at most once per turn.
By Yusuf Khan, Carlo Lipizzi
arXiv:2607. 05690v1 Announce Type: new Abstract: Language agents run a loop - observe, reason, act - but the memory they reason over sits outside it: a store queried at most once per turn.
By Yusuf Khan, Carlo Lipizzi
arXiv:2607. 26448v1 Announce Type: cross Abstract: A known limitation of long-context language models is their increasingly unreliable performance in non-additive, set-based aggregation as context length grows.
By Dachuan Song, Junyu Yin, Zechen Hu, Xuan Wang