AI RESEARCH
RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
arXiv CS.AI
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ArXi:2605.18805v1 Announce Type: cross LLM recommendation agents increasingly produce structured recommendation reports: sets of items accompanied by natural-language justifications. Yet existing evaluations often reduce this setting to reranking small shortlisted candidate sets or judge reports mainly by semantic plausibility. We