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Organization: Princeton University Library
Archive-It Partner 905: Princeton University Library
Collection: Princeton University Archives
Housed within the Seeley G. Mudd Manuscript Library, the Princeton University Archives consists of over 15,000 linear feet of materials including both paper and electronic records, as well as photographs and other audiovisual materials that document the history of Princeton University. The University Archives is also the repository for Princeton senior theses and doctoral dissertations. To find more archival holdings within the Princeton University Archives and the Princeton University Library, consult our finding aids at http://findingaids.princeton.edu.
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    Microsoft Research

    Microsoft at NeurIPS 2024: Advancing AI research across domains

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    What's new

    Research Focus: Week of December 2, 2024
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    Research Focus: Week of December 2, 2024 

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    • Dec 4

    MarS: A unified financial market simulation engine in the era of generative foundation models 

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    A visual illustration of Medprompt performance on the MedQA benchmark. Moving from left to right on a horizontal line, the illustration shows how different Medprompt components and additive contributions improve accuracy starting with zero-shot at 81.7 accuracy, to random few-shot at 83.9 accuracy, to random few-shot, chain-of-thought at 87.3 accuracy, to kNN, few-shot, chain-of-thought at 88.4 accuracy, to ensemble with choice shuffle at 90.2 accuracy.
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    Advances in run-time strategies for next-generation foundation models 

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    Accelerating drug discovery with TamGen: A generative AI approach to target-aware molecule generation 

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    • Dec 12

    A new frontier awaits โ€” computing with light 

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    • Dec 17

    PromptWizard 

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    • Dec 17

    NeurIPS 2024: The co-evolution of AI and systems with Lidong Zhou 

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    A diagram illustrating the joint optimization process of instructions and in-context examples in PromptWizard. The figure demonstrates how the framework iteratively refines both components, integrating feedback to enhance the overall prompt effectiveness and adaptability across tasks.
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    • Dec 17

    PromptWizard: The future of prompt optimization through feedback-driven self-evolving prompts 

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    Moving to GraphRAG 1.0 – Streamlining ergonomics for developers and users 

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    • Dec 13

    NeurIPS 2024: AI for Science with Chris Bishop 

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    • Dec 12

    Microsoft researcher on the future of AI agents in 2025 

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    • Dec 12

    Microsoftโ€™s smaller AI model beats the big guys: Meet Phi-4, the efficiency king 

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    • Dec 12

    Microsoft launches Phi-4, a new generative AI model, in research preview 

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    • Podcasts
    • Dec 13

    Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang 

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