Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
arXiv preprint arXiv:2502.00879 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Incorporating think-aloud traces with behavioral data in LLM-driven model discovery for risky choice yields higher held-out predictive accuracy and shifts most participants' best models from explicit-comparator to integrated-utility structures.
citing papers explorer
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An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies
Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
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Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior
Incorporating think-aloud traces with behavioral data in LLM-driven model discovery for risky choice yields higher held-out predictive accuracy and shifts most participants' best models from explicit-comparator to integrated-utility structures.