Author

Xinyu Guo

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#machine learning Dec 2025

AlignSAE: Concept-Aligned Sparse Autoencoders

AlignSAE is introduced, a method that aligns SAE features with a predefined ontology through a "pre-train, then post-train"curriculum and achieves disentanglement improvements of $9$--$\infty\times$ over standard SAEs, and further supports multi-hop reasoning and a mechanistic probe of grokking-like generalization dyna...

Minglai Yang, Xin-Yu Guo, Zheng-Liang Shi et al. · arXiv.org · 4 citations

#artificial intelligence Preprint Oct 2026

From Copying to Composition: How Language Models Develop In-Context Learning

In-context learning (ICL) allows language models to adapt their behavior from instructions and demonstrations in a prompt, but accuracy alone does not reveal how contextual information controls their predictions. We study the acquisition and trainability of ICL with a controlled diagnostic that separates copying a near...

Minglai Yang, Xin-Yu Guo, Ren-Xiong Wang et al. · 0 citations

#machine learning Preprint Aug 2026

Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-as-Reward RL

This work proposes Rubric Dropout, a one-line fix borrowed from neuron dropout that randomly drops a subset of the rubric's criteria before computing the reward, so the policy never optimizes the same rubric twice.

Minglai Yang, Xinyu Guo, Utkarsh Tyagi et al. · 0 citations