BOSTON and PARIS, Sept. 2, 2025 /PRNewswire/ -- Shift Technology, a provider of AI-driven decision automation and optimization solutions for the global insurance industry, today announced the company ...
Abstract: Recent studies have explored querying large language models (LLMs) to serve as predictors for graph mining tasks on text-attributed graphs (TAGs), establishing a promising paradigm that ...
Have you ever found yourself staring at a spinning wheel, waiting for your Power Query to refresh, only to wonder if there’s a better way? For anyone working with large datasets, refresh delays aren’t ...
The current RLOO trainer implementation has significant memory inefficiency when handling multiple generations per prompt. This proposal introduces a string-level processing optimization inspired by ...
What are “near me” searches and why do they matter? “Near me” searches are high-intent, proximity-driven queries that include language like “near me” or “nearby” to land local search results. For ...
Department of Industrial Engineering, Università degli Studi di Padova, Via Marzolo 9, Padova 35135, Italy Department of Industrial Engineering, Università degli Studi di Padova, Via Marzolo 9, Padova ...
Hash join build takes majority of time(1.406s) in the following query. We can apply the semi-mask optimization in such case to minimize the number of tuples on the build side. kuzu> profile CALL query ...
Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism; Engineering Research Centre of Pharmaceutical Process Chemistry, Ministry of Education, Laboratory of Pharmaceutical ...
Abstract: This work studies black-box adversarial attacks against deep neural networks, where the attacker only has access to the query feedback from the target model. The current state-of-the-art ...
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