Lovedeep Gondara

Steering just 30% of tokens can outperform traditional prompt-based control while preserving fluency in large language models.

Projecting high-dimensional treatments onto lower-dimensional attributes lets you answer multiple causal questions with a single model, eliminating the need for attribute-specific training.