Model techniques map
Techniquespost-trainingreward modelling

specific method · filed under post-training

Language consistency reward

Adds a reward signal for language consistency in reasoning and agent tasks.

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How sources treat it

One count per evidence span, weakest treatment to strongest.

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Evidence

1 span quoted from the sources, strongest treatment first.

For reasoning and agent tasks, we employ rule-based outcome reward, length penalty, and language consistency reward.

usedtraining objectivein DeepSeek-V3.2DeepSeek

Filed alongside

Other methods under post-training :: reward modelling.