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Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang

Researcher Jindong Wang and Associate Professor Steven Euijong Whang explore the NeurIPS 2024 work ERBench. ERBench leverages relational databases to create LLM benchmarks that can verify model rationale via keywords in addition to checking answer correctness.  Read the paper Get datasets and codes

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  Ideas: Community building, machine learning, and the future of AI

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  Ideas: More AI-resilient biosecurity with the Paraphrase Project

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  Coauthor roundtable: Reflecting on healthcare economics, biomedical resear…

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  Reimagining healthcare delivery and public health with AI

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  Navigating medical education in the era of generative AI

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  AI Testing and Evaluation: Reflections

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  AI Testing and Evaluation: Learnings from cybersecurity

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  How AI will accelerate biomedical research and discovery

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  AI Testing and Evaluation: Learnings from pharmaceuticals and medical devi…

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  AI Testing and Evaluation: Learnings from genome editing

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  AI Testing and Evaluation: Learnings from Science and Industry

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  The AI Revolution in Medicine, Revisited: How AI is reshaping the future o…

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  What AI's impact on individuals means for the health workforce and industry

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  Abstracts: Zero-shot models in single-cell biology with Alex Lu

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  Abstracts: Aurora with Megan Stanley and Wessel Bruinsma

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  Collaborators: Healthcare Innovation to Impact