AbstRaL: Reinforcement Learning for Abstract Reasoning in LLMs

AbstRaL enhances LLMs' abstract reasoning via reinforcement learning, focusing on underlying logic rather than surface details. Tested on GSM benchmarks, it improves robustness and consistency, especially for smaller models, by teaching models to reason abstractly and generalize better across varied inputs.