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The Representative Capacity of Transformer Language Models LMs with n-gram Language Models LMs: Capturing the Parallelizable Nature of n-gram LMs
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Advancing Time Series Forecasting: The Impact of Bi-Mamba4TS’s Bidirectional State Space Modeling on Long-Term Predictive Accuracy
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FlashSpeech: A Novel Speech Generation System that Significantly Reduces Computational Costs while Maintaining High-Quality Speech Output
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Mixture of Data Experts (MoDE) Transforms Vision-Language Models: Enhancing Accuracy and Efficiency through Specialized Data Experts in Noisy Environments
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Neuromorphic Computing: Algorithms, Use Cases and Applications
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SEED-X: A Unified and Versatile Foundation Model that can Model Multi-Granularity Visual Semantics for Comprehension and Generation Tasks
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Integrating Large Language Models with Graph Machine Learning: A Comprehensive Review
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Revolutionizing Web Automation: AUTOCRAWLER’s Innovative Framework Enhances Efficiency and Adaptability in Dynamic Web Environments
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A New AI Approach for Estimating Causal Effects Using Neural Networks
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DeepMind Researchers Propose Naturalized Execution Tuning (NExT): A Self-Training Machine Learning Method that Drastically Improves the LLM’s Ability to Reason about Code Execution