This paper proposes an intelligent review assistance system based on large language models, which can automatically analyze manuscript structure, identify common errors and provide modification suggestions.
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This paper proposes an intelligent review assistance system based on large language models, which can automatically analyze manuscript structure, identify common errors and provide modification suggestions.
This study explores the use of blockchain technology to build a decentralized academic publishing platform, enabling full traceability of manuscript submission, peer review and version records.
This study constructs a multi-modal evaluation framework to analyze radiology reports generated by mainstream large models, discussing data privacy and algorithmic bias challenges.
This paper empirically examines the impact of cross-border data flow rules on bilateral digital trade using the CEPII database.