Analysis of 1.01 million unfiltered Bing queries identifies 18% as geospatial, dominated by transactional categories like costs (15.3%) that exceed traditional GIS scope.
URL:https://dl.acm.org/doi/10.5555/1283383.1283494
6 Pith papers cite this work. Polarity classification is still indexing.
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A new polarizable QM/MM method for periodic systems uses SCME for water with multipoles up to hexadecapole and anisotropic polarizabilities, achieving full QM accuracy via careful near/far-field expansions and damping.
EpiCache clusters long conversation history into coherent episodes for per-episode KV cache eviction, delivering up to 30% accuracy gains and 3.7x peak memory reduction on LongConvQA tasks under fixed budgets.
New bound on Newton polytope support for minimal DEs in polynomial systems enables evaluation-interpolation projection algorithm outperforming prior software.
A survey that taxonomizes data mixing strategies for LLM pretraining into static rule-based, learning-based, and dynamic adaptive families while highlighting transferability challenges and evaluation gaps.
Mixed-precision Lloyd's k-means remains stable and effective for normalized data in clustering and image segmentation tasks, with care needed for unnormalized data to avoid overflow.
citing papers explorer
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Much of Geospatial Web Search Is Beyond Traditional GIS
Analysis of 1.01 million unfiltered Bing queries identifies 18% as geospatial, dominated by transactional categories like costs (15.3%) that exceed traditional GIS scope.
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Polarizable Embedding QM/MM for Periodic Systems
A new polarizable QM/MM method for periodic systems uses SCME for water with multipoles up to hexadecapole and anisotropic polarizabilities, achieving full QM accuracy via careful near/far-field expansions and damping.
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EpiCache: Episodic KV Cache Management for Long-Term Conversation on Resource-Constrained Environments
EpiCache clusters long conversation history into coherent episodes for per-episode KV cache eviction, delivering up to 30% accuracy gains and 3.7x peak memory reduction on LongConvQA tasks under fixed budgets.
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Projecting dynamical systems via a support bound
New bound on Newton polytope support for minimal DEs in polynomial systems enables evaluation-interpolation projection algorithm outperforming prior software.
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Data Mixing for Large Language Models Pretraining: A Survey and Outlook
A survey that taxonomizes data mixing strategies for LLM pretraining into static rule-based, learning-based, and dynamic adaptive families while highlighting transferability challenges and evaluation gaps.
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Computing $k$-means in mixed precision
Mixed-precision Lloyd's k-means remains stable and effective for normalized data in clustering and image segmentation tasks, with care needed for unnormalized data to avoid overflow.