---
id: 20260829-T0-04
title: "首个多领域同行评审数据集发布：AI不再只看计算机科学论文"
title_en: "First Multi-Domain Peer Review Dataset Trains AI on Biology, Chemistry, and More"
url: https://ai.daily.yangsir.net/daily/20260829-T0-04
issue_date: 2026-08-29
publish_date: 2026-08-28T04:00:00.000Z
category: research
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2608.26129
---

# 首个多领域同行评审数据集发布：AI不再只看计算机科学论文

FIRSTPASS数据集发布，成为首个覆盖计算机科学、生物学、化学等多领域的同行评审语料库。此前，AI审稿模型仅在CS和ML期刊数据上训练，导致其无法理解如“污染控制”或“合成步骤”等学科特定要求。该数据集基于真实编辑决策构建，包含超过20万条评审记录。研究人员可用它训练更通用的AI审稿助手，提升跨学科审稿效率并减少学科偏见。

## English Version

**First Multi-Domain Peer Review Dataset Trains AI on Biology, Chemistry, and More**

FIRSTPASS is released as the first multi-domain peer review dataset covering fields beyond CS/ML, including biology and chemistry. Previous AI reviewers never understood domain-specific demands like contamination controls or synthesis steps. Built on real editorial outcomes with 200k+ reviews, this dataset enables training more versatile AI review assistants, improving efficiency and reducing disciplinary bias.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2608.26129)

**详情页**：https://ai.daily.yangsir.net/daily/20260829-T0-04

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