2 papers
cs.AI2026
GlobeBench: Evaluating Text-Based World Model Capabilities for Scalable Environment Simulations
Nicholas Saban, Charvi Bannur, Mariya Vasileva +1
Text-based world models have recently shown potential to simulate complex RL environment state transitions for a diverse set of use cases. However, no standardized benchmark exists…
cs.LG2025
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
DatologyAI, :, Pratyush Maini +28
Recent advances in large language model (LLM) pretraining have shown that simply scaling data quantity eventually leads to diminishing returns, hitting a data wall. In response, th…