VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models
As large language models (LLMs) increasingly shape content generation, interaction, and decision-making across the Web, aligning them with human values has become a central objective in trustworthy AI. This challenge becomes even more pronounced when aligning multiple, potentially conflicting human values. Although recent approaches, such as reward reweighting, prompt-based supervised fine-tuning, and model merging, attempt to tackle multi-value alignment, they still face two major limitations:
Record details
Published: 18 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (18 March 2026), “VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models,” evidence record 7065, https://ethics.ai/record/7065 (originally published by arXiv).
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