Unverified50% confidenceFactExact time
Context Language Model (CLM) is a paper proposed by Meta and the University of Washington, whose core idea is to let the model edit its own context window rather than perform a one-time summary.
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50%
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Long-term
Relevance
10/5/2026
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Unverified上下文工程指系统性地设计、筛选和组织输入给大语言模型的信息,使模型在有限的上下文窗口内获得最高质量的参考材料66% similarUnverifiedContext-aware generation requires the model not only to grasp what has changed, but also to express those changes in an appropriate tone and format while maintaining consistency with the existing documentation system.64% similarUnverifiedCLM transforms the context from an append-only linear sequence into a readable and writable working memory, where the model can retain, shrink, delete, or rewrite any part of it.63% similarUnverifiedLarge language models use 'continuation' as their basic paradigm during generation, naturally tending to produce complete new content, whereas editing tasks require the model to target 'delta operations'.63% similarUnverifiedBuilding a large language model is essentially a matter of combining fundamental components such as embedding layers, attention mechanisms, Softmax, feed-forward networks, and layer normalization.62% similar
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