rotation matrix
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca Zhengxuan Wu, Atticus Geiger
Obtaining human-interpretable explanations of large, general-purpose language models is an urgent goal for AI safety.
Country:
- North America > United States > Minnesota > Hennepin County > Minneapolis (0.14)
- Europe > Italy > Tuscany > Florence (0.04)
- Oceania > Australia > Victoria > Melbourne (0.04)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
We develop a 3D equivariant diffusion model that jointly learns the generative process of both fragment poses and the 3D structure of the linker.
Country:
- North America > United States > Illinois > Champaign County > Urbana (0.04)
- Asia > China (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
Genre:
- Research Report > New Finding (1.00)
- Research Report > Experimental Study (0.93)
Industry:
- Information Technology (0.46)
- Government (0.45)
Technology:
Country:
- North America > United States (0.04)
- Asia > Middle East > Jordan (0.04)
Technology:
Technology:
