Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models
cs.AI
Submitted: 2026-09-15
Updated: 2026-09-15
Comments: Preprint. 9 authors
Code: https://github.com/KQ-Zhang/Do-LLMs-Have-Values-Release
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GPT-4 Technical Report
- DeepSeek-V3 Technical Report
- An adaptive, data-driven multiscale approach for dense granular flows
- Gemini: A Family of Highly Capable Multimodal Models
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- The Llama 3 Herd of Models
- Qwen2.5 Technical Report
- Qwen3 Technical Report
- How much do language models memorize?
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
- The Capacity for Moral Self-Correction in Large Language Models
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Scaling Laws for Neural Language Models
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