A new algorithm for online influence maximization under a total budget constraint using the independent cascade model and edge-level semi-bandit feedback, with improved regret bounds for both budgeted and cardinality settings.
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2026 2verdicts
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SAVER proposes a conformal groundability gate plus submodular image selector that activates vision only when needed for multimodal named entity recognition and relation extraction, improving F1 while lowering compute.
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Budgeted Online Influence Maximization
A new algorithm for online influence maximization under a total budget constraint using the independent cascade model and edge-level semi-bandit feedback, with improved regret bounds for both budgeted and cardinality settings.
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SAVER: Selective As-Needed Vision Evidence for Multimodal Information Extraction
SAVER proposes a conformal groundability gate plus submodular image selector that activates vision only when needed for multimodal named entity recognition and relation extraction, improving F1 while lowering compute.