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Comprehensive evaluations of MAREval establish MAREval as a scalable and reliable solution for human-aligned evaluation of recommendation explanations in real-world systems and improves alignment with human judgments over strong singleand multi-agent baselines.
MM-slotgate is introduced, a multimodal slot encoder that factorizes Fashion-CLIP text and image embeddings into four named attribute slots, suggesting that controllable fashion retrieval benefits from typed, attribute-conditioned multimodal slots rather than either a single global embedding or opaque item-level semant...
Findings suggest a practical role for LLMs as validated explanation components rather than primary rankers, with rationale quality evaluated separately from ranking accuracy.
This study evaluates survival models that predict time-to-repurchase directly, and adopts Exponential AFT for probability-consuming surfaces and Log-Normal for pure ranking, exposing a principled calibration-ranking trade-off within a single AFT family.
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