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0 results for “steering vectors”
Probabilistic Concept-Aware Steering for Trustworthy LLM Inference
A new research paper introduces Probabilistic Concept-Aware Steering (PCS), a method to improve interpretability and fine-grained control in LLM inference by replacing binary steering evaluation with probabilistic, continuous semantic alignment.
Jul 22, 2026
Controlling Tool Use with Heading-Specific Activation Steering
Researchers propose a method to steer tool-augmented LLMs toward more selective tool invocation using heading-anchored steering vectors, demonstrating causal suppression across five open-source models—but find the underlying geometry is irregular and inconsistent with linear encoding assumptions.
Jul 9, 2026
Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust
Researchers propose methods to control and trust large language models.
Published Jul 2, 2026 · Analyzed Jul 5, 2026