How We Measure Recommenders Matters: Rethinking Evaluation for Real-World Search and Recommendation
A new Frontiers in Big Data editorial argues that recommender and search systems must be evaluated with robust, responsible and ...
A new Frontiers in Big Data editorial argues that recommender and search systems must be evaluated with robust, responsible and ...
FDA researchers developed ARTEMIS, a framework that distills thousands of monoclonal antibody papers into compact, steerable AI memory that outperforms ...
A controlled counterfactual audit of 80 arXiv manuscripts shows that large language model evaluators systematically inflate prestige and acceptance scores ...
A new framework in AI & Society proposes standardizing expert–AI interactions into measurable fields so that language-model judges can detect ...
A nationwide German study deployed ten guideline-grounded AI chatbots across rheumatology centres, recording over 6,000 patient questions and finding that ...
University of Bologna researchers propose an AI-in-the-human-loop framework in which AI agents continuously assess and scaffold human reasoning to foster ...
Researchers have built a retrieval-augmented AI system that combines objective territorial indicators with citizens' subjective perceptions to support well-being decisions ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine