To tackle these issues, we present a sparse feedforward deep neural architecture for encoding and decoding the structural connectome of the human brain. We use a sparsely connected element-wise ...

Surveys [12 Aug 2025] A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language Models [16 Jun 2025] Discrete Diffusion in Large Language and Multimodal Models: A Survey [23 ...

text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models ...

Currently, LLMs use a framework called autoregressive decoding, in which text is generated one token at a time, and the previous text is used to generate the next sequence. However, this is clearly ...

In partial fulfilment of the requirements for the degree of Master of Arts. Department of Geography. // Thesis (M.A.)--University of Alberta, 1984. // DOA: ...

Diagnostic pathology is the foundation and gold standard for identifying carcinomas, and the accurate quantification of pathological images can provide objective clues for pathologists to make more ...

This Account summarizes recent studies conducted by our group on developing AI-assisted visualized microspheres for biosensing analysis and highlights unique encoding–decoding strategies and various ...