3 papers
cs.LG2026
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
Zhuoran Li, Xu Sun, Wanyu Lin +1
Large language models (LLMs) have demonstrated broad utility across molecular domains, spanning drug discovery and materials design. Analyzing LLMs' latent representations is cruci…
cs.LG2025
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development
Changfu Xu, Jianxiong Guo, Yuzhu Liang +7
Diffusion Models (DMs), as a leading class of generative models, offer key advantages for reinforcement learning (RL), including multi-modal expressiveness, stable training, and tr…
cs.LG2024
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks
Changfu Xu, Jianxiong Guo, Wanyu Lin +5
Artificial Intelligence Generated Content (AIGC) has gained significant popularity for creating diverse content. Current AIGC models primarily focus on content quality within a cen…