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![omarsar0 Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::3448284313.png) elvis [@omarsar0](/creator/twitter/omarsar0) on x 254.8K followers
Created: 2025-07-14 15:17:18 UTC

Mitigation via adversarial augmentation

The authors create "Master-RM", a new reward model trained with 20k synthetic negative samples (responses consisting of only reasoning openers).

This model generalizes robustly, achieving near-zero FPR across five benchmarks, while still agreeing XX% with GPT-4o on meaningful judgments.

![](https://pbs.twimg.com/media/Gv09f9yaIAABkph.jpg)

XXXXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1944778235671416863/c:line.svg)

**Related Topics**
[elvis](/topic/elvis)

[Post Link](https://x.com/omarsar0/status/1944778235671416863)