Jakub Bąba

Selective debate using confidence gating not only boosts performance in argument relation classification but also yields interpretable outputs that traditional methods lack.

Multi-agent debate unlocks significantly better argument classification from LLMs, even without fine-tuning, by surfacing hidden ambiguities that single-agent models miss.