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--- |
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license: mit |
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task_categories: |
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- text-generation |
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language: |
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- en |
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tags: |
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- Problem solving |
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size_categories: |
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- 10M<n<100M |
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--- |
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# Every Problem, Every Step, All in Focus: Learning to Solve Vision-Language Problems With Integrated Attention |
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A novel Solution Graph Attention Network (SGAN) approach that takes into account both intra-step and inter-step attention mechanisms, enabling a progressive construction of solutions by refining the dependencies between relevant problemsolving steps. |
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Citation |
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------------------ |
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If you use our code or data, please cite our paper: |
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```text |
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@article{xianyu:2024:sgan, |
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Author = {Xianyu Chen and Jinhui Yang and Shi Chen and Louis Wang and Ming Jiang and Qi Zhao}, |
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Title = {Every Problem, Every Step, All In Focus: Learning to Solve Vision-Language Problems with Integrated Attention}, |
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journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)}, |
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Year = {2024} |
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} |
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``` |
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