Unverified50% confidenceTradeoffExact time
Full context concatenation passes all historical messages to the model, which is simple but can exceed the token limit.
1
Sources
50%
Confidence
Long-term
Relevance
9/17/2026
First Seen
Sources
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Related Claims
Unverified上下文压缩的核心思路是在保留关键信息的前提下对历史上下文进行精简或摘要，从而减少每次请求携带的Token量64% similarUnverifiedThe context window is one of the fundamental limitations of current large language models, as a model can only process a limited number of tokens in a single inference.62% similarUnverifiedCodex uses a 'sliding window + summary compression' strategy to condense earlier conversation content into brief summaries, controlling actual token count per turn.62% similarUnverified当前主流大语言模型几乎都采用自回归方式逐 token 顺序生成文本62% similarUnverifiedThe decoder-only architecture uses a causal attention mask to ensure each token can only attend to its preceding context, making it suitable for autoregressive text generation tasks.61% similar
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