Glossary · Term

mode collapse

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Definition

Plain language

When an AI assistant ends up sounding the same way no matter what you ask it.

As stated in the literature

A post-RLHF failure mode in which the model's output distribution becomes narrowly peaked, reducing diversity across prompts.

Why it matters: Collapsed outputs hurt creativity, calibration, and exploration, and they can mask underlying capabilities the model still has.

For example, a chatbot keeps opening every reply with the same upbeat phrasing regardless of whether you asked about taxes or pasta.

Heard on the show

“1-8B and saw mode collapse on at least one benchmark — the model breaks down when it's forced to play both rubric-generator and policy roles simultaneously.”
Episode 019 — When the Best Reward Model Trains the Worst Policy: Inside EvoLM

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