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With AV1 hardware decode on mo­bile devices stuck in the mid-to-low teens as of 2025, and with VVC at zero, it’s clear that the race to supplant H.264 and HEVC will be contested with software-only ...

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Natural Language Processing (NLP) has advanced significantly with deep learning, driven by innovations like word embeddings and transformer architectures. Self-supervised learning uses vast amounts of ...

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Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

Abstract: This paper proposes a GeneraLIst encoder-Decoder (GLID) pre-training method for better handling various downstream computer vision tasks. While self-supervised pre-training approaches, e.g., ...

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering ...

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP) by demonstrating remarkable capabilities in generating human-like text, answering questions, and ...