Author

Yi Hu

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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

#machine learning Preprint Sep 2026

Shared Weights, Selected Computations: How Looped Transformers Route What Each Loop Does

Looped Transformers repeatedly apply the same set of Transformer layers, giving them a recurrent architecture for latent computation. Their strong performance on iterative reasoning and length-generalization tasks suggests an appealing explanation: recurrence may provide an inductive bias that lets the model reuse a le...

Jia-Jun Wu, Yi Hu, Mu-Han Zhang · 1 citation

#machine learning Preprint Aug 2026

ContinualSkillBench: Can LLM Agents Truly Evolve Their Capabilities?

ContinualSkillBench is introduced, a dynamic evaluation framework for in-context continual skill learning that shows that current in-context skill evolution mechanisms can support continual adaptation, but still struggle to consistently consolidate experience into robust and transferable skills.

Tianyi Guan, Yiding Wang, Haotong Yang et al. · 2 citations