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    <title>Mllm on Tenu Tech Brief</title>
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      <title>DHP: Efficient Scaling of MLLM Training with Dynamic Hybrid Parallelism</title>
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      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:DHP: Efficient Scaling of MLLM Training with Dynamic Hybrid Parallelism View PDF</description>
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      <title>Beyond Description: A Multimodal Agent Framework for Insightful Chart Summarization</title>
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      <pubDate>Tue, 24 Feb 2026 05:00:00 +0000</pubDate>
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      <description>• Chart summarization remains key for data accessibility but current methods lack deep insight extraction. • Existing MLLMs focus on low-level descriptions, missing the core analyt</description>
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      <title>TPRU: Advancing Temporal and Procedural Understanding in Large Multimodal Models</title>
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