LongCat-DeepResearch technical report: enhanced LongCat and multi-agent workflow for evidence-grounded reports
The arXiv technical report introduces LongCat-DeepResearch, a system that pairs an enhanced LongCat model with a multi-agent workflow that separates global planning (producing a ResearchSpec) from parallel section-level investigation and drafting, followed by targeted global review to guide local revisions. The authors report benchmark results (DeepResearchBench 55.25, DeepResearchBench II 51.35, ResearchRubrics 79.83) and an in-house score of 76.04 (second of four systems), and note that combining planning perspectives helps while additional planning refinement has mixed effects; post-drafting edits improved automatic readability preferences on some benchmarks.