2 papers
cs.LG2026
OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
Dihong Jiang, Ruoqi Cao, Zhiyuan Dang +8
While traditional tree-based ensemble methods have long dominated tabular tasks, deep neural networks and emerging foundation models have challenged this primacy, yet no consensus…
cs.AI2025
AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks
Jianlong Chang, Haixin Wang, Zhiyuan Dang +11
The pursuit of artificial general intelligence continuously demands generalization in one model across myriad tasks, even those not seen before. However, current AI models are isol…