Haoxiang Zhang
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The paper analyzes observation masking in long-horizon search agents, finding that its effectiveness depends on a complex interaction between the model's capacity and the retriever's strength, exhibiting an inverted-U shaped gain.
The paper introduces TVIR, a new benchmark and multi-agent framework for deep research, to evaluate and improve the generation of factually reliable, text-visual interleaved reports.
Papers
TVIR: Building Deep Research Agents Towards Text--Visual Interleaved Report Generation
Xinkai Ma, Zhiqi Bai, Dingling Zhang, Pei Liu +20 more
The paper introduces TVIR, a new benchmark and multi-agent framework for deep research, to evaluate and improve the generation of factually reliable, text-visual interleaved reports.