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6 件Coding agents solve repository issues through long sequences of exploration, editing, and validation. These tr
Linear attention scales linearly with sequence length, but its finite-state memory can limit long-context retr
Training acceleration methods for diffusion transformers, such as REPA and dispersive regularization, are comm
Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained inte
The quality with which language models follow instructions falls as the load grows, yet there is still no quan
Language agents increasingly act through external tools and interactive environments, making the interface bet