Paper trains LLMs to amortize sequential experimental design
Information-gain policies beat training- and inference-time BED baselines on Twenty Questions and transfer to Medi-Q.
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Information-gain policies beat training- and inference-time BED baselines on Twenty Questions and transfer to Medi-Q.
A federated Bayesian protocol privately estimates thrombectomy adverse-event rates from FDA MAUDE reports.
QuanVI scales score-based variational inference using mixed-state density operators and matrix product operators.
BaRe-Mem tracks advisor reliability so multi-agent systems resist misleading consultations better than debate or voting.
Bayesian Chronicle Agents add an explicit belief layer so LLM opinion dynamics can be controlled by stubbornness.
Moral Entropy treats moral-label disagreement as a posterior and finds common vote rules badly misclassify items.
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