ORDER: A Fictitious-World Benchmark for Domain-Adaptive Embodied AI.

arXiv:2609.22285v1 Announce Type: cross Abstract: Adapting language models to new domains via continual pre-training raises a basic evaluation problem: if the training corpus overlaps with what the model already knows, performance gains cannot be cleanly attri