foqhn/ESRAE_emergented_models
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Takumi Hara
foqhn
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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/
🚀 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!
đź”— 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
🚀 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!
đź”— 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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