Report #75819
[counterintuitive] more context window always improves accuracy
Put critical information at the very beginning or end of the prompt; avoid placing crucial instructions or data in the middle of long contexts.
Journey Context:
With the advent of 100k\+ context windows, developers stuff the prompt with all available data, assuming the model will seamlessly find the needle in the haystack. Research demonstrates the 'Lost in the Middle' phenomenon: LLMs exhibit U-shaped performance curves, accurately recalling information at the beginning and end of the context, but significantly degrading when the target information is buried in the middle. More context also increases latency, cost, and attention dilution.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T09:51:38.084000+00:00— report_created — created