3 papers
cs.CL2025
Theoretical Proof that Auto-regressive Language Models Collapse when Real-world Data is a Finite Set
Lecheng Wang, Xianjie Shi, Ge Li +5
Auto-regressive language models (LMs) have been widely used to generate data in data-scarce domains to train new LMs, compensating for the scarcity of real-world data. Previous wor…
cs.NE2025
A Contradiction-Centered Model for the Emergence of Swarm Intelligence
Wenpin Jiao
The phenomenon of emergence of swarm intelligence exists widely in nature and human society. People have been exploring the root cause of emergence of swarm intelligence and trying…
cs.AI2025
A Generic Model for Swarm Intelligence and Its Validations
Wenpin Jiao
The modeling of emergent swarm intelligence constitutes a major challenge and it has been tackled in a number of different ways. However, existing approaches fail to capture the na…