Scaling Articulated Rationales for MLLM-based Recommendation
SARA (Scaling Articulated Rationales) is an industrial framework that leverages articulated user rationales (AURs) to improve recommendation systems. It builds a data engine to elicit and curate AURs, aligns a general-purpose MLLM into SARA-7B, and integrates generated rationales into production ranking. SARA outperforms strong MLLM baselines in offline evaluation and online A/B tests.
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