Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation

Argumentative essay generation (AEG) aims to generate complete texts on specific controversial topics or debates. Although current AEG methods can generate individual opinions, they often overlook the high-level connections between these opinions. This often leads to the generated results being mired in logical confusion, unable to proof their own arguments effectively. The generated essay may present evidence that contradicts the claims or they may fail to assemble the claims into logical flow. In this paper, we present a unified two-stage framework: Proof-Enhancement and Self-Annotation (PESA) for AEG with a focus on logical enhancement. Specifically, we first construct pseudo-labels for logical information,claims and grounds, using a large language Figure 1: Two examples of proof and logical disorganization model. We then propose a tree planning leading to impaired persuasiveness. Obviously, approach that introduces proof principles and the upper example gives self-contradiction claim and ensures logical consistency. Extensive experimental ground, the lower example gives correct and persuasive results show that, benefiting from proof proof.