Prof. Yegor Grebnev shows how large language models can uncover discourse continuities across apparently unrelated ancient Chinese texts.

Talk highlights

• Why traditional methods miss cross-text discourse links
• Designing prompts and evaluations for LLM-based text analysis
• Case studies on early Chinese textual traditions
• Limits and reliability of LLM evidence in philological research

A lively Q&A followed the talk, touching on prompt engineering, hallucination, and the future of AI-assisted philology.