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cs.AI2025
OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
Alana Renda, Jillian Ross, Michael Cafarella +1
Real-world settings where language models (LMs) are deployed -- in domains spanning healthcare, finance, and other forms of knowledge work -- require models to grapple with incompl…
cs.AI2025★ 1 cited
PalimpChat: Declarative and Interactive AI analytics
Chunwei Liu, Gerardo Vitagliano, Brandon Rose +3
Thanks to the advances in generative architectures and large language models, data scientists can now code pipelines of machine-learning operations to process large collections of…