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  1. 4 days ago · A lower bound on the risk of axis-aligned Mondrian trees is obtained proving that these estimators are suboptimal for these linear dimension reduction models in general, no matter how the distribution over the covariates used to divide the data at each tree node is weighted. This work studies the statistical advantages of using features comprised of general linear combinations of covariates to ...

  2. 4 days ago · Semantic Scholar helps researchers find better academic publications faster. Our engine analyzes publications and extracts important features using machine learning techniques.

  3. 3 days ago · Fig. 1: Semantic selectivity by single neurons during naturalistic speech processing. Fig. 4: Hierarchical semantic relationship between word representations. Collectively, these findings imply ...

  4. 5 days ago · Inspired by the memory hierarchy of the human brain, we reduce this cost by equipping LLMs with explicit memory, a memory format cheaper than model parameters and text retrieval-augmented generation (RAG).

  5. 5 days ago · LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives. The widespread adoption of synthetic data raises new questions about how models generating the data can influence other large language models (LLMs) via distilled data.

  6. 4 days ago · Author Impact Factor and Author Profiles. The Author Impact Factor calculates the scientific value of a given researcher or author. You can try the h-index or compile cited references by using Web of Science, Semantic Scholar, Dimensions or Google Scholar. Please note that Semantic Scholar is mostly for STEM fields.

  7. 4 days ago · Past work on semantic development has looked at specific scenarios such as scanned geometry or missing classification. This paper describes an innovative unified approach to the documentation of semantic expectations by actors in the AECO (Architectural, Engineering, Construction and Operations) domain and the means to put them into effect.

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