Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games

ArXi:2603.22479v1 Announce Type: cross Defining a constructive process to build general capabilities for language models in an automatic manner is considered an open problem in artificial intelligence. Towards this, we consider the problem of building a curriculum of tasks that grows a model via relevant skill discovery. We provide a concrete framework for this task, using a family of tasks called cross-entropy games, which we postulate is universal in a suitable sense.