在学术研究的广阔领域中，一篇名为《利用大型语言模型获取信息性文本评价》的论文，以其独到的见解和创新性，引起了计算经济学顶级会议ACM Conference on Economics and Computation (EC’24)的高度关注。该论文由北京大学前沿计算研究中心孔雨晴课题组与密歇根大学Grant Schoenenbeck课题组共同合作完成，陆宇暄和许晟伟作为共同第一作者，为论文的理论基础与实验设计注入了创新活力。论文链接：https://arxiv.org/abs/2405.15077。
论文聚焦于如何利用大型语言模型，如GPT系列，来获取高质量的文本评价，这一研究领域正处于快速发展的前沿。通过探索AI生成的文本评价对学术、商业乃至社会评价的影响，该论文不仅为学术界提供了新的研究视角，也为未来评价系统的设计与优化提供了宝贵的数据支持与理论依据。
在EC’24会议上，论文得到了现场交流的机会，吸引了众多专家学者的深入探讨。此次会议于Yale School of Management，New Haven，Room 2400，时间设定在周三，进一步验证了论文在学术界的地位与影响力。
此外，本文特别关注到了在学术审稿过程中可能出现的“ChatGPT”味道十足的审稿意见，探讨了其质量与可信度。在当前AI技术迅速发展的背景下，如何确保人工智能生成的内容能够达到学术评价的标准，成为了一个亟待解决的重要议题。论文通过实证研究，为这一问题提供了深入的分析与见解，对推动学术评价体系的现代化与智能化具有重要意义。
总之，该论文不仅为计算经济学领域贡献了新颖的研究成果，也为人工智能在学术评价中的应用提供了新的思路与实践路径，展现了跨学科合作的潜力与价值。随着学术界对人工智能技术的持续探索与应用，该论文的研究成果有望对未来的学术评价体系产生深远影响。
英语如下：
News Title: “AI Grading Methodology for Papers: Attention on ChatGPT-Style Reviewing Formats”
Keywords: AIxiv Column, GPT Reviewing, Academic Exchange
Content: In the vast field of academic research, a paper titled “Utilizing Large Language Models for Informational Text Evaluation” has garnered significant attention from the top conference in computational economics, the ACM Conference on Economics and Computation (EC’24). This paper, a collaborative effort between the Beijing University Center for Frontier Computing Research Lab and the University of Michigan, led by Dr. Guanr Schoenenbeck, features Luyuxuan and Xu Shengwei as co-first authors, injecting innovation into the theoretical foundation and experimental design. The paper is available at the following link: .
The paper centers on how large language models, such as the GPT series, can be leveraged to generate high-quality text evaluations, a field that is rapidly evolving. By exploring the impact of AI-generated text evaluations on academic, commercial, and societal evaluations, the paper not only offers a new perspective to the academic community but also provides valuable data support and theoretical foundations for the design and optimization of future evaluation systems.
At the EC’24 conference held at Yale School of Management, New Haven, Room 2400 on Wednesday, the paper was given the opportunity for on-site discussion, attracting the attention of numerous leading experts in the field. This conference further solidifies the paper’s standing and influence in the academic community.
Additionally, the paper pays special attention to the possibility of “ChatGPT” flavored reviewing opinions in academic reviews, examining their quality and credibility. Amidst the rapid development of AI technology, how to ensure that AI-generated content meets the standards of academic evaluation has become a pressing issue. Through empirical research, the paper provides a deep analysis and insight into this issue, which is of great significance for the modernization and intelligence of academic evaluation systems.
In summary, this paper not only contributes novel research results to the field of computational economics but also offers new avenues and practical paths for the application of AI in academic evaluation, highlighting the potential and value of interdisciplinary collaboration. As the academic community continues to explore and apply AI technologies, the research outcomes of this paper are expected to have a profound impact on future academic evaluation systems.
【来源】https://www.jiqizhixin.com/articles/2024-07-10-4
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