RecoAtlas is a benchmark that evaluates LLM recommendation agents on behavior-grounded metrics for relevance, complementarity, and diversity in addition to semantic coherence.
Shopping mmlu: A massive multi-task online shopping benchmark for large language models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces SII framework and PIWM using AIDA and BDI models to predict intent transitions and select from five intervention classes, reporting 0.641 macro F1 with ground-truth state on a new benchmark.
citing papers explorer
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RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
RecoAtlas is a benchmark that evaluates LLM recommendation agents on behavior-grounded metrics for relevance, complementarity, and diversity in addition to semantic coherence.
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See, Infer, Intervene: Proactive World Modeling for Goal-Oriented Social Intelligence
Introduces SII framework and PIWM using AIDA and BDI models to predict intent transitions and select from five intervention classes, reporting 0.641 macro F1 with ground-truth state on a new benchmark.