LLM Steering Comparison Hub
3 papers - avg viability 5.3
Top Papers
- Prism-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models(7.0)
PRISM-$Δ$ enhances prompt highlighting in large language models by optimizing steering directions for better context relevance.
- COLD-Steer: Steering Large Language Models via In-Context One-step Learning Dynamics(7.0)
COLD-Steer enables efficient, training-free control of LLM behavior at inference time, requiring significantly fewer examples than existing methods.
- Curveball Steering: The Right Direction To Steer Isn't Always Linear(2.0)
Curveball steering offers a nonlinear approach to control LLM behavior by respecting the intrinsic geometry of activation spaces.