LLM facilitators in real-stakes group charity decisions shift specific allocations without raising consensus or participation equity, yet increase perceived trust and preference for the process.
arXiv preprint arXiv:2410.07304 , year =
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Adding medically insignificant features to prompts causes statistically significant increases in mean predicted hospitalization risk and output variability across four LLMs and four prompt styles on synthetic patient profiles.
A reinforcement learning model is ethically fine-tuned using aggregated feedback from LLMs embodying five moral principles via Belief Jensen-Shannon Divergence and Dempster-Shafer Theory.
citing papers explorer
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Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task
LLM facilitators in real-stakes group charity decisions shift specific allocations without raising consensus or participation equity, yet increase perceived trust and preference for the process.
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Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
Adding medically insignificant features to prompts causes statistically significant increases in mean predicted hospitalization risk and output variability across four LLMs and four prompt styles on synthetic patient profiles.
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Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making
A reinforcement learning model is ethically fine-tuned using aggregated feedback from LLMs embodying five moral principles via Belief Jensen-Shannon Divergence and Dempster-Shafer Theory.