Generalization of RLVR Using Causal Reasoning as a Testbed

This article likely discusses the application of causal reasoning to improve the generalization capabilities of Reinforcement Learning with Value Representation (RLVR) models. The use of causal reasoning as a testbed suggests an evaluation of how well RLVR models can understand and utilize causal relationships within a given environment. The focus is on improving the model's ability to perform well in unseen scenarios.