Author

Remy Ogasawara

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#artificial intelligence Preprint Oct 2026

Orthogonal and Parametrized Multi-Attribute Steering of LLMs

Activation steering offers an effective and efficient way to modify an LLM's behavior at inference time. However, it remains unclear how to apply steering such that the signal is consistently strong and the steering strength has a universally interpretable meaning. We address this first by identifying the most steerabl...

Remy Ogasawara, C. Anderson, N. Oozeer et al. · 0 citations

#machine learning Preprint Sep 2026

Judging by the Cover: Cleaning LLM Truthfulness Benchmarks to Avoid Surface-Level Feature Leakage

This work releases a version of TruthfulQA with surface-feature leakage reduced close to chance and provides a mechanism, Audit-Prune, so that the datasets can be cleaned before release.

Foad Namjoo, Remy Ogasawara, Amirali Abdullah et al. · 0 citations