Junhui Lv

Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection

Detecting self-contradictions within documents is a challenging task for ensuring textual coherence and reliability. While large language models (LLMs) have advanced in many natural language understanding tasks, document-level self-contradiction detection (DSCD) remains insufficiently studied. Recen