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RLVR Can Destroy the Capability Your Search Relies On — and a Greedy Metric Won't Tell You

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

If you're evaluating verifiable-reward RL (RLVR / GRPO / R1-style outcome-only training) with greedy accuracy alone, this post is about a failure mode you cannot see: the metric can say "improving" while the search-augmented capability your deployment depends on is quietly being destroyed. We built…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-09-04 09:04 · DEV Community — Machine Learning
    RLVR Can Destroy the Capability Your Search Relies On — and a Greedy Metric Won't Tell You

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