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Bidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures
Correction-based offline preference pipelines commonly treat model failures only as rejected responses under the original prompt. This supervision is incomplete for boundary failures: responses that violate the given instruction yet coherently satisfy a nearby intent or constraint setting. We introd
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