Abhilash Nandy

abhi1nandy2

https://sites.google.com/view/abhilashnandy/home

AI & ML interests

Natural Language Processing, Computer Vision

Recent Activity

posted an update 6 days ago

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

updated a Space 3 months ago

abhi1nandy2/my-chatbot

updated a dataset 5 months ago

bansalaman18/yesbut

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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!

🔗 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