DeepWeaver: Bridging the Evidence Synthesis Gap in Open-Ended Question Answering

TL;DR - DeepWeaver is an evidence-synthesis framework for open-ended question answering that structures retrieved material into Thought Block Chains before generating an answer. It improves evidence coverage, citation grounding, and preservation of detail across multiple LLMs.

• Thought Block Chains group claims, salient information, keywords, and supporting evidence into a structured intermediate representation.
• Subordinate chains inspect residual evidence, revise existing chains, and identify additional claims before final generation.
• The paper introduces LoQA, a high-density benchmark designed to evaluate evidence synthesis.
• DeepWeaver improves content sufficiency and citation grounding on LoQA, alongside insight depth and citation quality on DeepResearch Bench.