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genpark-length-bias-penalty-reward-calibrator-skill

mcp
Guvenlik Denetimi
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SUMMARY

Verbosity penalty and length bias calibrator normalizing raw model rewards against response token lengths

README.md

genpark-length-bias-penalty-reward-calibrator-skill

Verbosity penalty calibrator discounting inflated reward signals associated with excessively long model outputs.

Architecture

flowchart LR
    Length[Token Length] --> Excess[max(0, Length - Target)]
    Excess --> Penalty[Penalty = alpha * Excess]
    Raw[Raw Model Reward] --> Discount[Calibrated Reward = Raw - Penalty]
    Penalty --> Discount

Features

  • Linear and Exponential Decay: Flexible penalty profiles.
  • Zero Dependencies: 100% Python Standard Library.

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