5 papers
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…
Hierarchical Alignment: Surgical Fine-Tuning via Functional Layer Specialization in Large Language Models
Yukun Zhang, Qi Dong
Existing alignment techniques for Large Language Models (LLMs), such as Direct Preference Optimization (DPO), typically treat the model as a monolithic entity, applying uniform opt…
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,…
Revenue vs. Welfare: A Comprehensive Analysis of Strategic Trade-offs in Online Food Delivery Systems
Yukun Zhang, Qi Dong
This paper investigates the trade-off between short-term revenue generation and long-term social welfare optimization in online food delivery platforms. We first develop a static m…