PaperScorer: How Predictable Is Paper Acceptance?
arXiv:2610.31791v1 Announce Type: new Abstract: Automated research is largely evaluated by benchmark performance, but the value of research rarely reduces to a single score. Humans judge a work's holistic contribution through peer review, which is hard to model because it is noisy and depends on many factors. However, what if, given only the paper, we could predict its peer-review decision directly? We introduce PaperScorer, a family of models that predict a paper's accept or reject decision from its extracted text or page screenshots, training only on the decision after removing author identi
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本站仅作技术动态聚合，不构成任何形式的建议。