alignment methods
Alignment methods are techniques used in AI to ensure that the objectives and behaviors of a model are aligned with human values and preferences, reducing the risk of unintended outcomes in AI systems.
- Checklists Are Better Than Reward Models For Aligning Language Models
- ComPO: Preference Alignment via Comparison Oracles
- Distortion of AI Alignment: Does Preference Optimization Optimize for Preferences?
- Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
- Perception Encoder: The best visual embeddings are not at the output of the network
- Perception Encoder: The best visual embeddings are not at the output of the network
- Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
- With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You