Structurally conditioned counterfactual generation and validation for question answering from scientific text
A large language model (LLM)-based pipeline is presented for structured processing of scientific abstracts and for generating paired factual and counterfactual question-answer (QA) instances under document-level intervention constraints. The implemented system extracts entities, events, and relations; indu...