Author

Zhen Xiang

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Preprint Oct 2026

RealControlBench: A Benchmark for Interpretability-Informed Fine-Grained Control of LLMs and Agents

The evaluation shows that existing steering methods remain unreliable across realistic control objectives: they often fail to consistently induce the intended behavior and can substantially degrade the model's underlying task performance, suggesting that strong steering effects in controlled settings do not necessarily...

Xin-Yi Cai, Bin Hu, Ming-Yu Jin et al. · 0 citations

#artificial intelligence May 2026

Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs

A modular, controllable, and efficient framework that selectively relaxes refusal behavior on authorized target domains while preserving standard safety elsewhere, offering a practical path toward foundation models that adapt to diverse professional needs.

Qi-Tao Tan, Xiaoying Song, Arman Akbari et al. · arXiv.org · 1 citation