From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs
cs.AI
Submitted: 2026-09-24
Updated: 2026-09-24
Terminology
Sources
- PAD: Personalized Alignment of LLMs at Decoding-Time
- POPI: Personalizing LLMs via Optimized Natural Language Preference Inference
- DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
- CoPL: Collaborative Preference Learning for Personalizing LLMs
- GPT-4 Technical Report
- Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- Constitutional AI: Harmlessness from AI Feedback
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Variational Relevance Vector Machines
- KTO: Model Alignment as Prospect Theoretic Optimization
- BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
- An Introduction to Variational Inference
- Aligning AI With Shared Human Values
- Retrieval-Augmented Generation for Large Language Models: A Survey
- Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment
- Enough Coin Flips Can Make LLMs Act Bayesian
- Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
- Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
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