Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang Shanghai Jiao Tong University
Neural Information Processing Systems
However, computing the second-order Hessian for large-scale models is intractable.
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UltraMedical: Building Specialized Generalists in Biomedicine
Neural Information Processing Systems
Exploring how to build open-source, GPT-4-level LLMs in the field of biomedicine is underway.
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R: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning Shirley Wu
Neural Information Processing Systems
Current approaches have primarily focused on directly deploying agents using complex human-designed "mega-prompts" [
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