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Hey I’m Abhinav. I am a AI Scientist at ASUS-AICS. I work on Natural Language Processing and I am interested in processing clinical notes.

“Let me try my hand at machine learning” started my exploration on the subject during my Masters. I stayed in college for my PhD. I was advised by Prof Min-Yen Kan and we worked on understanding text originating from different sources and not just mainstream media. I now focus on help machines understand clinical notes and other text written by clinicians and doctors as a scientist in Singapore.

I started as a web developer after my graduation in Bangalore. Developing websites and web in general still excites me. Apart from training machines to learn about human languages, I enjoy playing my guitar and singing. I also sketch in my spare time.

<aside> 📰 NEWS

</aside>

• January 2024- Our survey paper on sentence representations is accepted at EACL’24
• November 2023 - Invited Talk at OntarioTechU/University of Toronto.
• November 2023 - Invited Guest Lecture at SUTD on LLMs and Clinical NLP
• July 2023 - We stand second in the ImagCLEF competition to summarize clinical dialogues. Paper
• June 2023 - We stand second in a competition to generate problem lists from clinical notes. Paper
• April 2023 - Our paper that predicts ICD codes from clinical notes using a clever hierarchical decomposition is accepted to ACL 2023. Paper here.
• April 2023 - We intend to make speech synthesis work for different kinds of speakers quickly. We will present our paper Adapter Mix in INTERSPEECH’23. Paper here

<aside> 🧑‍🔬 PAPER NOTES I write notes about the papers I read and post it here.

</aside>

GLaM: Efficient Scaling of Language Models with Mixture of Experts

Publicly Shareable Clinical Large Language model Built on Synthetic Clinical Notes

MAUVE - Measuring the Gap Between Neural text and Human Text using Divergence Frontiers

Understanding Dataset Difficulty

<aside> 🏙️ OTHER WRITINGS Other writings. General Musings

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Thanks to Reza Arkan for inspiring me to create my website using Notion. I made this website using Notion And Fruition. Give it a try.