yingtaol

I have three Ph.D. student openings in my research group at @RutgersCS starting in Fall 2025. If you are interested in working with me on efficient algorithms and systems for LLMs, foundation models, and AI4Science, please apply at: grad.rutgers.edu/academics/prog… The deadline is January 1, 2025. Please be sure to indicate in your application that you are interested in working with me (this is very important! And no need to email me directly). I look forward to your applications!

High-quality data is a key to successful pretrain/finetuning in the GPT era, but manual data curation is expensive💸 We tackle data quality challenges involving large models and datasets with ScAlable Meta leArning (SAMA) #NeurIPS2023💫 Arxiv: arxiv.org/abs/2310.05674 🧵 (1/n)

With medical expertise demand-supply mismatch and AI advances, I think we need to give serious thought to a future with autonomous medical AI (without expert oversight). Discussion around liability, regulations and cost considerations should start now. 🧵

The Contextualized Machine Learning White Paper arxiv.org/abs/2310.11340 w/ @ben_lengerich Intuition, applications, algorithms, and extensions for contextualized models: models that understand heterogeneity in real data, adapt to new environments, and are explainable by design.

NEW PREPRINT Human decisions are nuanced and hard to quantify. Accurate models are too complex to interpret, and interpretable models are too simple to be accurate. But decision models must be both accurate and interpretable to support real decisions! arxiv.org/abs/2310.07918