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Knowledge injection, reasoning supervision, and preference optimization can be combined to substantially improve semantic relevance judgment, outperforming even strong LLM baselines.
By explicitly conditioning on the query, QGS achieves a 0.62% CTR increase in a major commercial search engine, proving that generative models can beat traditional deep learning baselines in search ranking when query context is properly handled.
