{"ID":2875879,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.01387","arxiv_id":"2509.01387","title":"ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links","abstract":"Understanding fine-grained links between documents is crucial for many applications, yet progress is limited by the lack of efficient methods for data curation. To address this limitation, we introduce a domain-agnostic framework for bootstrapping sentence-level cross-document links from scratch. Our approach (1) generates and validates semi-synthetic datasets of linked documents, (2) uses these datasets to benchmark and shortlist the best-performing linking approaches, and (3) applies the shortlisted methods in large-scale human-in-the-loop annotation of natural text pairs. We apply the framework in two distinct domains -- peer review and news -- and show that combining retrieval models with LLMs achieves a 73% human approval rate for suggested links, more than doubling the acceptance of strong retrievers alone. Our framework allows users to produce novel datasets that enable systematic study of cross-document understanding, supporting downstream tasks such as media framing analysis and peer review assessment. All code, data, and annotation protocols are released to facilitate future research.","short_abstract":"Understanding fine-grained links between documents is crucial for many applications, yet progress is limited by the lack of efficient methods for data curation. To address this limitation, we introduce a domain-agnostic framework for bootstrapping sentence-level cross-document links from scratch. Our approach (1) gener...","url_abs":"https://arxiv.org/abs/2509.01387","url_pdf":"https://arxiv.org/pdf/2509.01387v2","authors":"[\"Serwar Basch\",\"Ilia Kuznetsov\",\"Tom Hope\",\"Iryna Gurevych\"]","published":"2025-09-01T11:32:24Z","proceeding":"cs.CL","tasks":"[\"cs.CL\",\"cs.IR\",\"cs.LG\"]","methods":"[\"Large Language Model\"]","has_code":false}