AI RESEARCH

CogScale: Scalable Benchmark for Sequence Processing

arXiv CS.AI

ArXi:2605.19758v1 Announce Type: new The ability to maintain and manipulate information over time is a fundamental aspect of living beings and Artificial Intelligence. While modern models have achieved remarkable success in tasks like natural language processing, evaluating the capacity of novel architectures to process sequential information remains computationally expensive and time-consuming. Testing a new architecture often requires scaling up to massive datasets and models, leading to vast computational costs and slow iteration cycles.