2 papers
cs.LG2026
Controllable Molecular Generative Foundation Models
Yihan Zhu, Yuhan Liu, Weijiang Li +2
Despite the success of foundation models in language and vision, molecular graph generation still lacks a unified framework for heterogeneous design tasks with reliable controllabi…
cs.AI2026
Do LLMs Build Spatial World Models? Evidence from Grid-World Maze Tasks
Weijiang Li, Yilin Zhu, Rajarshi Das +1
Foundation models have shown remarkable performance across diverse tasks, yet their ability to construct internal spatial world models for reasoning and planning remains unclear. W…