Yushen Fang

SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema

Although Large language Model (LLM)-powered information extraction (IE) systems have shown impressive capabilities, current fine-tuning paradigms face two major limitations: high training costs and difficulties in aligning with LLM preferences. To address these issues, we propose a novel universal