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A Short-Length Prediction Bought a Place in Line

JIL manipulates an output-length estimate used by a size-based serving scheduler.

Published Updated Story ID: mp-2026-10-04-016
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Summary

JIL manipulates an output-length estimate used by a size-based serving scheduler.

In tests across two datasets and four models, adversarial suffixes cut predicted lengths by up to 83.4 percent and improved attacker-request completion time by up to 1.53 times on average. Coarse prediction intervals reduced the advantage. These are scheduler-specific experiments.

Why it matters

JIL manipulates an output-length estimate used by a size-based serving scheduler.

Limits and context

No additional limitation was separately recorded.

Key claims

  1. JIL manipulates an output-length estimate used by a size-based serving scheduler.

    Evidence: source-2026-10-04-018

Sources

  1. arXiv preprint 2610.03430, original v1arXiv / submitting research authors · primary research

Corrections

: Publication note: This October 4 edition was reconstructed on October 5 after the workstation was offline. It uses original October 2 submissions from the standard Sunday-evening arXiv release, rather than claiming those papers were available for the missed 9 AM run. The date and 9 AM publication slot preserve archive chronology; October 5 developments are excluded. The September 27 Invention Desk is carried over because its replacement was generated October 5.