5 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
Hierarchical Alignment: Block-Level LoRA-DPO for Preference Tuning in Large Language Models
Yukun Zhang, Yishen Chen, Qi Dong
Preference tuning typically distributes adapter updates across every Transformer layer. We study how the placement of a fixed LoRA budget affects Direct Preference Optimization (DP…
Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation
Yukun Zhang, Qi Dong, Mengkang Li
Understanding how latent representations evolve during generation is a central open problem in large language model interpretability. We introduce \textbf{Dynamical Manifold Evolut…
Multi-Scale Manifold Alignment for Interpreting Large Language Models: A Unified Information-Geometric Framework
Yukun Zhang, Qi Dong
We present Multi-Scale Manifold Alignment(MSMA), an information-geometric framework that decomposes LLM representations into local, intermediate, and global manifolds and learns cr…
Generative AI and Information Asymmetry: Impacts on Adverse Selection and Moral Hazard
Yukun Zhang, Tianyang Zhang
Information asymmetry often leads to adverse selection and moral hazard in economic markets, causing inefficiencies and welfare losses. Traditional methods to address these issues,…