Unverified60% confidenceFactTime unknown
A larger context window does not automatically lead to better model output results.
2
Sources
60%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSimply expanding the context window does not equate to a linear improvement in comprehension ability; there is a phenomenon of forgetting in the middle.77% similarUnverifiedThe larger the context window, the more likely model performance is to degrade—the more information fed to the model, the worse it may perform.76% similarUnverified更长的上下文窗口并未消除注意力稀释效应，反而带来更高的单次调用成本72% similarUnverified上下文窗口的大小不等于有效利用的能力，窗口越大指令衰减的潜在风险反而可能越突出71% similarUnverified大上下文窗口会导致模型性能下降，让模型变笨，因此现代Harness的价值在于让模型精准构建所需上下文而非全部塞入71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/28749API
curl https://kongchang.com/api/v1/knowledge/claims/28749MCP
get_claim(id=28749)