The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

Flexible position encoding helps LLMs follow complex instructions and shifting states by Lauren Hinkel, Massachusetts Institute of Technology edited by Lisa Lock, reviewed by Robert Egan ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

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1 Key Laboratory of Tobacco Chemistry, Zhengzhou Tobacco Research Institute of China National Tobacco Corporation (CNTC), Zhengzhou, China 2 Technology Center, China Tobacco Jilin Industrial Co., Ltd.

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

Introduction: Understanding the impact of hypoxic conditions on cognitive functions, including English listening comprehension, has garnered increasing attention due to its implications for ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...