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M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding
  And A Retrieval-Aware Tuning Framework

M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework

9 November 2024
Yew Ken Chia
Liying Cheng
Hou Pong Chan
Chaoqun Liu
Maojia Song
Sharifah Mahani Aljunied
Soujanya Poria
Lidong Bing
    RALM
    VLM
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Papers citing "M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework"

2 / 2 papers shown
Title
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline
Zhenliang Xue
Hanpeng Hu
Xing Chen
Yimin Jiang
Yixin Song
Zeyu Mi
Yibo Zhu
Daxin Jiang
Yubin Xia
Haibo Chen
49
0
0
19 Apr 2025
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Not All LoRA Parameters Are Essential: Insights on Inference Necessity
Guanhua Chen
Yutong Yao
Ci-Jun Gao
Lidia S. Chao
Feng Wan
Derek F. Wong
39
0
0
30 Mar 2025
1