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The increasing volume of research paper submissions poses a significant challenge to the traditional academic peer-review system, leading to an overwhelming workload for reviewers. This study explores the potential of integrating Large Language Models (LLMs) into the peer-review process to enhance efficiency without compromising effectiveness. We f...
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Context 1
... operations are available through the contextual menu when on an annotation. Fig. 3 illustrates these three scenarios for this very manuscript. If appropriate, the output can be saved for later compilation. While AnnotateGPT is not intended for the reviewer to conduct the annotation themselves, but rather as a result of prompting, the reviewer is also able to create their own annotations by selecting excerpts from the ...
Context 2
... operations are available through the contextual menu when on an annotation. Fig. 3 illustrates these three scenarios for this very manuscript. If appropriate, the output can be saved for later compilation. While AnnotateGPT is not intended for the reviewer to conduct the annotation themselves, but rather as a result of prompting, the reviewer is also able to create their own annotations by selecting excerpts from the ...
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Peer review is a cornerstone of quality control in scientific publishing. With the increasing workload, the unintended use of `quick' heuristics, referred to as lazy thinking, has emerged as a recurring issue compromising review quality. Automated methods to detect such heuristics can help improve the peer-reviewing process. However, there is limit...
