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GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science
Herein, we consider 13 GPT-related papers across different scientific domains, reviewed by a human reviewer and SciSpace, a large language model, with the reviews evaluated by three distinct types of evaluators, namely GPT-3. 5, a crowd panel, and GPT-4.
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers
Hence, incorporating long-range dependencies from the historical graph context plays a crucial role in accurately learning their temporal dynamics.
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