[HUGGINGFACE]score: 0.42
TVIR-Agent Generates Factually Grounded Text-Visual Interleaved Research Reports
May 31, 2026
TVIR-Bench covers 100 expert-curated multimodal deep research tasks requiring visual elements tied to specific analytical sub-goals, while TVIR-Agent uses a hierarchical multi-agent framework to retrieve images, generate traceable charts, and compose reports with context-aware visual placement. This targets the gap in current deep research agents that produce text-only or visually unreliable outputs.
paper
HOW THIS AFFECTS YOU
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builderTVIR-Agent's architecture for traceable chart generation and image retrieval in long-form reports is a concrete reference design for multimodal research agent products.
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researcherTVIR-Bench provides an evaluation framework for multimodal report generation that goes beyond text quality to assess visual factuality and alignment.