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Sign up free →A paper argues that LLM-enabled agents (software, physical, and simulation systems powered by large language models) need to be grounded in role definitions operationalized through persona descriptions to enable socially intelligible behaviour.
Current LLM-enabled agent systems remain weakly grounded in roles, norms, intentions, and contextual constraints, limiting their capacity for meaningful participation in social environments despite fluent language use.
The paper outlines research directions for representation, hybrid control, and evaluation, concluding that persona-based role definitions are necessary to transform language competence into social behaviour.
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