IBM Leverages Reinforcement Learning to Achieve SOTA Performance on Text and Knowledge Base Generation | Synced

In the paper ReGen: Reinforcement Learning for Text and Knowledge Base Generation Using Pretrained Language Models, IBM researchers present ReGen, a bidirectional generation of text and graph that leverages reinforcement learning to push the performance of text-to-graph and graph-to-text generation tasks to a higher level.