AI RESEARCH

DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation

arXiv CS.CL

ArXi:2605.04458v1 Announce Type: new Evaluation of long-form, citation-backed reports has lately received significant attention due to the wide-scale adoption of retrieval-augmented generation (RAG) systems. Core to many evaluation frameworks is the use of atomic facts, or nuggets, to assess a report's coverage of query-relevant information attested in the underlying collection. While nuggets have traditionally been represented as short statements, recent work has used question-answer (QA) representations, enabling fine-grained evaluations that decouple the information need (i.e.