Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
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Symmetry Systems Powers Ahead with New AI-Powered Classification Features and Open Source Taxonomy
SAN MATEO, Calif., Jan. 30, 2026 /PRNewswire/ -- Symmetry Systems, the Data+AI security company, today unveiled its AI-Powered Classification taxonomy that fundamentally transforms how organizations ...
Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...
This work is supported by the National Natural Science Foundation of China (NSFC) under Grant No.62476049. Some parts of codes in this repo are adapted from the following amazing works. We thank the ...
Abstract: Text-to-SQL conversion, the process of generating SQL queries from natural language input, has gained significant attention due to its potential to simplify database interaction. Although ...
Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based ...
Abstract: This paper explores the classification of Structured Query Language (SQL) queries based on their robustness against SQL Injection (SQLi) attacks using neural networks. SQLi vulnerabilities ...
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