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Early Indicators of Reward Hacking via Reasoning Interpolation

Aug 12, 20261 min read

Summary

Using importance sampling with fine-tuned donor prefills to predict reward hacking emergence during training

Open reference source

Key takeaways

How to use this in real systems

  1. 1.Evaluate whether this change affects your current LLM stack, data pipelines, or agent workflows.
  2. 2.Pilot on a single production-like workload before broad rollout.
  3. 3.Document governance, cost, and observability impacts for operators.
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