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Trade Perspectives 2021: International Trade in a Post-COVID-19 World Proceedings of the international scientific conference 'Trade Perspectives 2021' held at the University of Zagreb, Croatia. This volume explores the impact of the COVID-19 pandemic on international trade, economic activity, and business strategies, featuring research from leading academics and institutions. |
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2025 July National Unified Academic Achievement Evaluation English Answers and Explanations Comprehensive answers and detailed explanations for the English section of the 2025 July National Unified Academic Achievement Evaluation, providing insights into test questions and dialogues. |
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Beyond Boundaries and Categories: The Living Dead in Medieval Literature A doctoral thesis by Jessica Ann Coulson from the University of East Anglia, exploring the mutable representations of the living dead in medieval English literature and challenging traditional interpretative boundaries. |
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English Speaking Tour Guides in Japan: Setouchi Region & Beyond Discover a comprehensive list of English-speaking tour guides in Japan, specializing in the Setouchi region and beyond. Find expert guides for historical sites, cultural immersion, art tours, and local cuisine. |
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Очерки по исторической фонетике бурятского языка Исследование В. И. Рассадина, опубликованное издательством 'Наука' в 1982 году, посвященное исторической фонетике бурятского языка. Анализируются причины отличий бурятского языка от других монгольских языков с привлечением сравнительного материала из монгольских и алтайских языков. |
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External Knowledge Augmented Language Models for Code Generation and Agents: Thesis Proposal This thesis proposal by Fangzheng (Frank) Xu investigates the integration of external knowledge into language models for enhanced code generation and the development of AI agents. It covers pre-training, human studies, retrieval augmentation, and LLM agent applications, aiming to improve natural language interaction with computers. |
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Convolutional Neural Networks for Speech Recognition This research paper explores the application of Convolutional Neural Networks (CNNs) to enhance Automatic Speech Recognition (ASR) systems, detailing their architecture, a novel limited weight sharing scheme, and experimental results showing improved performance over DNNs and GMM-HMMs. |