From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents
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. To evaluate the ratio of expected behaviors,
Record details
Published: 13 May 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 May 2026), “From Descriptive to Prescriptive: Uncover the Social Value Alignment of LLM-based Agents,” evidence record 4367, https://ethics.ai/record/4367 (originally published by arXiv).
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