ML and NLP for healthcare.
PhD MIT, BS/MS Stanford. She/her.
It's especially dangerous for consequential domains like medicine! arxiv.org/pdf/2502.14898
It's especially dangerous for consequential domains like medicine! arxiv.org/pdf/2502.14898
🚀 Our CHIL 2025 paper, led by my PhD student Furong Jia, probes the pre-training datasets behind popular LLMs to investigate how online medical sources drive performance.
📄 Paper: arxiv.org/abs/2505.15024
🚀 Our CHIL 2025 paper, led by my PhD student Furong Jia, probes the pre-training datasets behind popular LLMs to investigate how online medical sources drive performance.
📄 Paper: arxiv.org/abs/2505.15024
🎓 Apply by March 15, 2025 at chil.ahli.cc/submit/docto...
#CHIL2025
🎓 Apply by March 15, 2025 at chil.ahli.cc/submit/docto...
#CHIL2025
This is joint work with @dmshanmugam.bsky.social , @rajmovva.bsky.social, Jon Kleinberg, @monicaagrawal.bsky.social, @mdredze.bsky.social, Kadija Ferryman, Judy Wawira Gichoya, @jurafsky.bsky.social, Pang Wei Koh, @karenlevy.bsky.social...
This is joint work with @dmshanmugam.bsky.social , @rajmovva.bsky.social, Jon Kleinberg, @monicaagrawal.bsky.social, @mdredze.bsky.social, Kadija Ferryman, Judy Wawira Gichoya, @jurafsky.bsky.social, Pang Wei Koh, @karenlevy.bsky.social...
85% of equity-related LLM papers focus on *harms*.
But also vital are the equity-related *opportunities* LLMs create: detecting bias, extracting structured data, and improving access to health info.
85% of equity-related LLM papers focus on *harms*.
But also vital are the equity-related *opportunities* LLMs create: detecting bias, extracting structured data, and improving access to health info.
Please apply to Duke CS or CBB if you are interested in developing new methods and paradigms for NLP/LLMs in healthcare.
For details, see here: monicaagrawal.com/home/researc....
Please apply to Duke CS or CBB if you are interested in developing new methods and paradigms for NLP/LLMs in healthcare.
For details, see here: monicaagrawal.com/home/researc....