[2405.17345] Exploring and steering the moral compass of Large Language Models

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack

[2405.17345] Exploring and steering the moral compass of Large Language Models Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Artificial Intelligence arXiv:2405.17345 (cs) [Submitted on 27 May 2024 ( v1 ), last revised 6 Jun 2024 (this version, v2)] Title: Exploring and steering the moral compass of Large Language Models Authors: Alejandro Tlaie View a PDF of the paper titled Exploring and steering the moral compass of Large Language Models, by Alejandro Tlaie View PDF HTML (exper

related reading

• [2602.09416] Are Language Models Sensitive to Morally Irrelevant Distractors?arxiv.org
• Discovering Language Model Behaviors with Model-Written Evaluations — LessWronglesswrong.com
• Emotion Concepts and their Function in a Large Language Modeltransformer-circuits.pub
• Steering Might Stop Working Soon — LessWronglesswrong.com
• Automated Alignment Researchers: Using large language models to scale scalable oversight \ Anthropicanthropic.com
• Little Free Language Modelswritefutureslab.com
• State of AI 2025: 100T Token LLM Usage Study | OpenRouteropenrouter.ai
• The state of LLM ethical decision-making - Imbueimbue.com
• Refusal in LLMs is mediated by a single direction — LessWronglesswrong.com
• [2506.00751] Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?arxiv.org
• Cognitive Biases in Large Language Models — LessWronglesswrong.com
• [2203.02155] Training language models to follow instructions with human feedbackarxiv.org