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pro vyhledávání: '"Hall, Matthew"'
Large Language Models (LLMs), while powerful, are built and trained to process a single text input. In common applications, multiple inputs can be processed by concatenating them together into a single stream of text. However, the LLM is unable to di
Externí odkaz:
http://arxiv.org/abs/2403.14720
Autor:
Clarke, Christopher, Hall, Matthew, Mittal, Gaurav, Yu, Ye, Sajeev, Sandra, Mars, Jason, Chen, Mei
Classic approaches to content moderation typically apply a rule-based heuristic approach to flag content. While rules are easily customizable and intuitive for humans to interpret, they are inherently fragile and lack the flexibility or robustness ne
Externí odkaz:
http://arxiv.org/abs/2307.12935
We present an automatic approach that works on resting-state raw EEG data for chronic pain detection. A new feature selection algorithm - modified Sequential Floating Forward Selection (mSFFS) - is proposed. The improved feature selection scheme is r
Externí odkaz:
http://arxiv.org/abs/2306.15194