Little late to the party 🥳, but I’m thrilled to finally share our AAAI 2025–accepted work! Check out the project homepage here:  
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Little late to the party 🥳, but I’m thrilled to finally share our AAAI 2025–accepted work! Check out the project homepage here:  
https://midas-pro-mds.github.io/
https://midas-pro-mds.github.io/
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🚀 What’s MiDAS-PRo all about?
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🚀 What’s MiDAS-PRo all about?
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We tackle the challenge of coherent, non-redundant multi-document summarization with source attribution via a three-stage LLM-based pipeline:
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We tackle the challenge of coherent, non-redundant multi-document summarization with source attribution via a three-stage LLM-based pipeline:
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1. Plan a hierarchical document organization
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1. Plan a hierarchical document organization
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2. Reason by generating entities/topics
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2. Reason by generating entities/topics
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3. Summarize the collection into a cohesive narrative
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3. Summarize the collection into a cohesive narrative
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All “planning” and “reasoning” steps are framed as code-completion tasks, guided by graph attention network-based in-context example selection—boosting both automated and human evaluation scores! 
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All “planning” and “reasoning” steps are framed as code-completion tasks, guided by graph attention network-based in-context example selection—boosting both automated and human evaluation scores! 
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🔗 Resources
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🔗 Resources
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- Paper: 
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- Paper: 
https://ojs.aaai.org/index.php/AAAI/article/view/34676
https://ojs.aaai.org/index.php/AAAI/article/view/34676
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- Slides: 
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- Slides: 
https://drive.google.com/file/d/1lWqQtHRnpn-g2IQ3guloj_2j8sDm4z0V/view?usp=drivesdk
https://drive.google.com/file/d/1lWqQtHRnpn-g2IQ3guloj_2j8sDm4z0V/view?usp=drivesdk
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- Poster: 
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- Poster: 
https://drive.google.com/file/d/1EQqgwbcS7xkVx38y0qPvdRh0gQyeOH5u/view?usp=drivesdk
https://drive.google.com/file/d/1EQqgwbcS7xkVx38y0qPvdRh0gQyeOH5u/view?usp=drivesdk
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- Video:  
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- Video:  
https://youtube.com/shorts/6ecxLLUpWJE?si=BAluAeP4-_eCmfu7
https://youtube.com/shorts/6ecxLLUpWJE?si=BAluAeP4-_eCmfu7
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Big thanks to my mentor and co-author Sambaran Bandyopadhyay at Adobe Research for the guidance (Summer 2024 internship days FTW!) 🙏.
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Big thanks to my mentor and co-author Sambaran Bandyopadhyay at Adobe Research for the guidance (Summer 2024 internship days FTW!) 🙏.
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#AAAI2025 #MultiDocumentSummarization #LLM #Research #NLP
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#AAAI2025 #MultiDocumentSummarization #LLM #Research #NLP
Little late to the party 🥳, but I’m thrilled to finally share our AAAI 2025–accepted work! Check out the project homepage here:  https://midas-pro-mds.github.io/

🚀 What’s MiDAS-PRo all about?
We tackle the challenge of coherent, non-redundant multi-document summarization with source attribution via a three-stage LLM-based pipeline:

1. Plan a hierarchical document organization


2. Reason by generating entities/topics


3. Summarize the collection into a cohesive narrative
All “planning” and “reasoning” steps are framed as code-completion tasks, guided by graph attention network-based in-context example selection—boosting both automated and human evaluation scores! 



🔗 Resources

- Paper: https://ojs.aaai.org/index.php/AAAI/article/view/34676 

- Slides: https://drive.google.com/file/d/1lWqQtHRnpn-g2IQ3guloj_2j8sDm4z0V/view?usp=drivesdk 

- Poster: https://drive.google.com/file/d/1EQqgwbcS7xkVx38y0qPvdRh0gQyeOH5u/view?usp=drivesdk

- Video:  https://youtube.com/shorts/6ecxLLUpWJE?si=BAluAeP4-_eCmfu7


Big thanks to my mentor and co-author Sambaran Bandyopadhyay at Adobe Research for the guidance (Summer 2024 internship days FTW!) 🙏.

#AAAI2025 #MultiDocumentSummarization #LLM #Research #NLP
👍
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Tiago Freitas
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