Jered McInerney
@dmcinerney.bsky.social
PhD Candidate in ML/NLP at Northeastern University, currently working on interpretability in healthcare, broadly interested in distant supervision and bridging the gap between pretraining and applications
Excited to share that our work on interpretable risk prediction will be at the #NAACL2024 main conference!
Our work on reducing diagnostic errors with interpretable risk prediction is now on arXiv!
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
March 17, 2024 at 12:41 PM
Excited to share that our work on interpretable risk prediction will be at the #NAACL2024 main conference!
Our work on reducing diagnostic errors with interpretable risk prediction is now on arXiv!
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
February 28, 2024 at 6:52 PM
Our work on reducing diagnostic errors with interpretable risk prediction is now on arXiv!
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
We retrieve evidence from a patient’s record, visualize how it informs a prediction, and test it in a realistic setting. 👇 (1/6)
arxiv.org/abs/2402.10109
w/ @byron.bsky.social and @jwvdm.bsky.social
Very excited our “CHiLL” paper was accepted to #EMNLP2023 Findings!
Can we craft arbitrary high-level features without training?👇(1/6)
We ask a doctor to ask questions to an LLM and train an interpretable model on the answers.
arxiv.org/abs/2302.12343
w/ @jwvdm.bsky.social and @byron.bsky.social
Can we craft arbitrary high-level features without training?👇(1/6)
We ask a doctor to ask questions to an LLM and train an interpretable model on the answers.
arxiv.org/abs/2302.12343
w/ @jwvdm.bsky.social and @byron.bsky.social
October 25, 2023 at 2:18 PM
Very excited our “CHiLL” paper was accepted to #EMNLP2023 Findings!
Can we craft arbitrary high-level features without training?👇(1/6)
We ask a doctor to ask questions to an LLM and train an interpretable model on the answers.
arxiv.org/abs/2302.12343
w/ @jwvdm.bsky.social and @byron.bsky.social
Can we craft arbitrary high-level features without training?👇(1/6)
We ask a doctor to ask questions to an LLM and train an interpretable model on the answers.
arxiv.org/abs/2302.12343
w/ @jwvdm.bsky.social and @byron.bsky.social