3 papers
cs.AI2026
Personalizing Large Language Model Agents with Small Policy Models
Dian Jin, Zhi Zhang, Huichao Li +3
Large language model (LLM) agents can retrieve memory, call tools, ask clarifying questions, and vary response style, yet adapting these execution decisions to an individual user r…
stat.ML2026
Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
Huichao Li, Tong Wang, Sanguo Zhang +1
Most existing multitask learning approaches are limited by their reliance on task-specific loss functions tailored to the scale and type of each outcome. When outcomes differ acros…
stat.ML2026
Hierarchical Contrastive Learning for Multimodal Data
Huichao Li, Junhan Yu, Doudou Zhou
Multimodal representation learning is commonly built on a shared-private decomposition, treating latent information as either common to all modalities or specific to one. This bina…