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Radar: language models that self-evaluate

Published on September 19, 2026, the paper studies language-model feedback prompted as LLM-as-a-Judge during training, compared with reward models based on human preferences that remain frozen.

The paper studies using the language model itself, prompted as an LLM-as-a-Judge, to provide feedback during training. It compares this approach with reward models based on human preferences that remain frozen throughout training. The material was published on September 19, 2026.

The proposal may interest engineers evaluating ways to generate training feedback without relying only on separate, frozen reward models. To confirm the scope and findings, consult the original paper and check its methods, comparisons, and conclusions; the available summary does not provide specific metrics or experimental results.

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