{"ID":2923628,"CreatedAt":"2026-06-02T04:05:25.881865328Z","UpdatedAt":"2026-06-04T13:12:39.622923895Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2606.02320","arxiv_id":"2606.02320","title":"TVIR: Building Deep Research Agents Towards Text--Visual Interleaved Report Generation","abstract":"Deep Research Agents have shown strong capability in multi-step information retrieval, reasoning, and long-form report generation, but existing benchmarks and systems remain predominantly text-centric, with limited evaluation of whether visual elements are factually reliable and well aligned with the surrounding analysis. To address this gap, we introduce TVIR (Text--Visual Interleaved Report Generation), which includes TVIR-Bench, a benchmark of 100 expert-curated multimodal deep research tasks that require visual elements to serve specific analytical sub-goals, and TVIR-Agent, a hierarchical multi-agent framework that serves as a strong baseline for constructing outlines, retrieving images, generating charts with traceable sources, and composing reports through context-aware sequential writing. We further develop a dual-path evaluation framework that combines Textual Assessment and Visual Assessment. Experiments across nine deep research systems show that TVIR-Agent achieves strong overall performance, underscoring the importance of explicit multimodal design and evaluation for evidence-driven report generation.","short_abstract":"Deep Research Agents have shown strong capability in multi-step information retrieval, reasoning, and long-form report generation, but existing benchmarks and systems remain predominantly text-centric, with limited evaluation of whether visual elements are factually reliable and well aligned with the surrounding analys...","url_abs":"https://arxiv.org/abs/2606.02320","url_pdf":"https://arxiv.org/pdf/2606.02320v1","authors":"[\"Xinkai Ma\",\"Zhiqi Bai\",\"Dingling Zhang\",\"Pei Liu\",\"Yishuo Yuan\",\"He Zhu\",\"Jiakai Wang\",\"Qianqian Xie\",\"Yifan Zhao\",\"Xinlong Yang\",\"Hao Cong\",\"Zhiheng Yao\",\"Fengxia Xie\",\"Zihao Xu\",\"Haoran Xu\",\"Zhaohui Wang\",\"Minghao Liu\",\"Shirong Lin\",\"Yingshui Tan\",\"Yuchi Xu\",\"Wenbo Su\",\"Zhaoxiang Zhang\",\"Bo Zheng\",\"Jiaheng Liu\"]","published":"2026-06-01T14:35:14Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[]","has_code":false}