Abstract: We consider the reconstruction of a codeword from multiple noisy copies, each independently corrupted by insertion, deletion, and substitution errors. This problem arises, for example, in ...
Abstract: Large Language Models (LLMs) offer promising solutions for various downstream tasks. However, hallucination, limited reasoning capabilities, and high resource consumption remain significant ...
2026/01/08, We extended the scope of EarthVQA from China to a global scale at EarthVL dataset. 2025/01/28, Our project was awarded the 'Most Innovative Project' in Computer Vision Projects Expo 2024.
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