PACE: Publisher-Adaptive Content Extraction via Agentic Automation
Experiments show that PACE outperforms scalable non-manual baselines while approaching the quality of manually engineered publisher-specific parsers, demonstrating that agentic configuration learning can automate publisher-specific extraction for LLM-ready page representations beyond article text.