Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations (2025.emnlp-main)
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| Challenge: | Language-driven generative agents have enabled large-scale social simulations with transformative uses, from interpersonal training to aiding global policy-making. |
| Approach: | They propose a framework for persona-environment Behavioral Alignment that iteratively refines agent personas and aligns them with real-world expert benchmarks. |
| Outcome: | The proposed framework greatly enhances behavioral realism and reliability in high-stakes social simulations. |
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