AI RESEARCH
From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
arXiv CS.CL
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ArXi:2605.14034v1 Announce Type: cross Wide applications of LLM-based agents require strong alignment with human social values. However, current works still exhibit deficiencies in self-cognition and dilemma decision, as well as self-emotions. To remedy this, we propose a novel value-based framework that employs GraphRAG to convert principles into value-based instructions and steer the agent to behave as expected by retrieving the suitable instruction upon a specific conversation context.