Fine-Tuned LLM as a Complementary Predictor Improving Ads System 事件

Fine-Tuned LLM as a Complementary Predictor Improving Ads System arXiv:2605.27856v1 Announce Type: cross Abstract: Recommendation systems power engagement and monetization across feeds, ads, and short-video platforms, but translating the latest advances in Large Language Models into Recommendation Systems (RecSys) gains remains rare, particularly in advertising and production-scale real-world industry setups. Prior real-world LLM successes typically fall into three buckets: (a) generative retri