Author

Yibin Lou

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#artificial intelligence Preprint Oct 2026

Which Knowledge Should LLMs Trust? Uncovering a Generalizable Steering Direction Across Knowledge Conflicts

Large Language Models (LLMs) frequently encounter conflicts between internal parametric knowledge and external contextual knowledge, yet the mechanisms governing this selection remain unclear. We show that the choice between context and parametric knowledge is linearly represented and can be controlled along a single d...

Yibin Lou, Yi Hu, Jian-Hui Chen et al. · 0 citations

#natural language process... Preprint Oct 2026

Does Steering Break Your Model? A Multi-Dimensional Evaluation Suite for LLM Steering Methods

Activation steering provides a lightweight and flexible way to control large language model (LLM) behavior. However, effective steering requires more than inducing the intended behavior: it should also limit unintended changes and remain robust across inputs and training data. Existing evaluations cover these dimension...

Hao-Tian Yang, Hui-Kang Jiang, Yu-Chen Wu et al. · 1 citation